阅读说明：本技术 一种基于超表面的反射型声学全息成像方法 (Reflection type acoustic holographic imaging method based on super surface ) 是由 罗国栋 于 2021-07-07 设计创作，主要内容包括：本发明提供了一种基于超表面的反射型声学全息成像方法,包括反射型声学全息成像装置,方法包括：获取反射型声学全息成像装置的工作频率,确定工作频率下的初始声波；将初始声波垂直入射到反射型声学全息成像装置中,得到反射声波；将反射声波输入至反射声波矫正模型,得到矫正声波；根据矫正声波在反射型声学全息成像装置的成像面上重建出目标图像；本发明的有益效果为：用于解决传统的利用声学超表面,通过设计单元结构,直接产生全息声场在特殊场景应用时会因为声波干扰导致全息成像存在偏差的问题。(The invention provides a reflection type acoustic holographic imaging method based on a super surface, which comprises a reflection type acoustic holographic imaging device and comprises the following steps: acquiring the working frequency of a reflection-type acoustic holographic imaging device, and determining an initial sound wave under the working frequency; vertically injecting the initial sound wave into a reflection type acoustic holographic imaging device to obtain a reflection sound wave; inputting the reflected sound wave into the reflected sound wave correction model to obtain a corrected sound wave; reconstructing a target image on an imaging surface of the reflection-type acoustic holographic imaging device according to the corrected sound wave; the invention has the beneficial effects that: the method is used for solving the problem that the traditional method utilizes the acoustic super surface, and directly generates a holographic sound field by designing a unit structure, and the holographic imaging has deviation due to sound wave interference when the holographic sound field is applied in a special scene.)

1. A method of reflectively acoustic holographic imaging based on a super-surface, comprising a reflectively acoustic holographic imaging device, comprising:

acquiring the working frequency of the reflection-type acoustic holographic imaging device, and determining an initial sound wave under the working frequency;

vertically injecting the initial sound wave into the reflection type acoustic holographic imaging device to obtain a reflection sound wave;

inputting the reflected sound wave into a reflected sound wave correction model to obtain a corrected sound wave;

and reconstructing a target image on an imaging surface of the reflection type acoustic holographic imaging device according to the corrected sound wave.

2. A method of reflective acoustic holographic imaging based on a super-surface, wherein constructing the reflected acoustic wave correction model comprises:

obtaining interfered reflected sound waves as original samples, and respectively processing the original samples based on a trained countersample generation model of different sound wave scenes to obtain second samples;

determining region division rules according to the confrontation sample generation models of the preset different sound wave scenes;

performing region division on the second sample according to the region division rule to obtain a plurality of sample sound wave regions;

optimizing the second sample according to the divided sound wave regions of the plurality of samples based on the gradient by utilizing a Monte Carlo gradient estimation algorithm to generate a target countermeasure sample;

acquiring an initialized anti-interference reflected sound wave model;

and training the initialized anti-interference reflected sound wave model based on the target countermeasure sample and the original sample to obtain a reflected sound wave correction model.

3. A reflection type acoustic holographic imaging method based on a super surface is characterized in that interfered reflected sound waves are obtained as original samples, the original samples are respectively processed based on trained countersample generation models of different sound wave scenes of preset types, and second samples are obtained, and the method comprises the following steps:

obtaining interfered reflected sound waves as an original sample P epsilon O^α×β×γWherein alpha is sound wave frequency, beta is sound wave sound pressure, gamma is sound wave sound intensity, O is a set of original samples, the sound wave frequency of each original sample in the set O is alpha, the sound wave sound pressure is beta, the sound wave sound intensity is gamma, and P is included in O^α×β×γThe original sample of (a);

setting the types of sound wave scenes, and acquiring the sound wave frequency, the sound wave sound pressure and the sound wave sound intensity of different preset sound wave scenes in a preset second time;

acquiring a preset number of initialized countermeasure sample generation models, and training the countermeasure sample generation models based on the sound wave frequency, the sound wave sound pressure and the sound wave sound intensity in the preset second time to obtain trained countermeasure sample generation models of different sound wave scenes;

inputting the original samples into the trained confrontation sample generation models of the preset variety of different sound wave scenes respectively to obtain outputs of preset quantity;

and averaging the outputs of the preset number to obtain a second sample.

4. The method of claim 2, wherein the area-dividing the second sample according to the area-dividing rule comprises:

acquiring the average sound wave frequency, the average sound wave sound pressure and the average sound wave sound intensity of the different sound wave scenes in a preset second time;

matching the average sound wave frequency, the average sound wave sound pressure and the average sound wave sound intensity of the second sample and the different sound wave scenes in a preset second time, wherein the matching rule is as follows: performing difference operation on the sound wave frequency of the Q-th section of sound wave in the second sample and the average sound wave frequency to obtain a first difference value; performing difference operation on the sound wave sound pressure of the Q-th section of sound wave in the second sample and the average sound wave sound pressure to obtain a second difference value; performing difference operation on the sound wave intensity of the Q-th section of sound wave in the second sample and the average sound wave intensity to obtain a third difference; respectively carrying out absolute value operation on the first difference, the second difference and the third difference, then carrying out addition operation to obtain a region value, and taking the sound wave scene with the lowest region value as a sample sound wave region of a Q-th section of sound wave in the second sample; wherein Q is a positive integer.

5. A method as claimed in claim 1, wherein the corrective sound waves form a focused projection of one or more points on an imaging surface above the reflex acoustic holographic imaging device to form the target image.

6. A method of hypersurface based reflective acoustic holographic imaging according to claim 1, further comprising:

acquiring original sound wave data;

setting a sound wave frequency range;

determining second sound wave data in the original sound wave data according with the sound wave frequency range based on the sound wave frequency range;

determining acoustic position information of the second acoustic data;

carrying out data processing on the second sound wave data to obtain a sound wave frequency distribution diagram;

fusing the sound wave position information and the sound wave frequency distribution map to obtain a target sound wave distribution map;

and fusing the target sound wave distribution map and the target image to obtain a second target image.

7. A method as claimed in claim 6, wherein said processing said second acoustic data to obtain an acoustic frequency map comprises:

performing fast Fourier transform calculation with the length of T on the second acoustic data to obtain a matrix Y;

setting a second sound wave frequency range;

determining second matrix data in the matrix Y which conforms to the second acoustic frequency range based on the second acoustic frequency range;

fusing the matrix Y and the second matrix data to obtain a complex matrix Z;

setting an array steering vector based on the microphone array;

determining second weight data in the array steering vector according with the second sound wave frequency range based on the second sound wave frequency range;

combining the second weight data to obtain a weight matrix C;

performing point multiplication on different weights in the weight matrix C in the complex matrix Z to obtain a point multiplication matrix set;

summing any dot-product matrix in the dot-product matrix set according to rows to obtain a 1-T-dimensional vector;

performing norm calculation on the 1 x T dimensional vector to obtain a norm calculation data result;

determining a sound wave frequency distribution matrix D according to the norm calculation data result;

acquiring a correction matrix X of a microphone array;

calibrating and correcting the acoustic wave frequency distribution matrix D according to the correction matrix X to obtain a correction matrix J;

carrying out high-power interpolation processing on the correction matrix J to obtain an acoustic wave frequency distribution matrix S;

and transforming the acoustic frequency distribution diagram of the acoustic frequency distribution matrix S.

8. The method of claim 6, further comprising:

acquiring colors corresponding to different sound wave frequencies;

and converting the second target image into a third target image with different colors for visualizing different sound wave frequencies according to the colors corresponding to the different sound wave frequencies.

Technical Field

The invention relates to the field of holographic imaging, in particular to a reflection type acoustic holographic imaging method based on a super surface.

Background

Acoustic imaging and focusing have many important applications in modern scientific and industrial production, such as disease diagnosis, oil and gas exploration, seismic source visualization, microfluidic particle separation, and the like; in the prior art, acoustic imaging and focusing are usually realized by means of a concave mirror, a convex mirror or a wedge-shaped structure, but the structures are usually large in size and limited in imaging effect, and a large space needs to be arranged behind a holographic film, so that the influence of phantom imaging is away from the background by a certain distance, and a stereoscopic impression is created; holographic projection has received much attention because it can record three-dimensional information completely and realize three-dimensional imaging; traditional super surface of acoustics of utilizing, through design unit structure, directly produce holographic sound field, but this type of technique often can cause holographic imaging to have the deviation because of special scene to the interference of acoustic wave when different scenes are used, consequently, need a reflection-type acoustics holographic imaging method based on super surface for solve traditional super surface of utilization acoustics, through design unit structure, directly produce holographic sound field and can lead to holographic imaging to have the problem of deviation because of acoustic wave interference when special scenes are used.

Disclosure of Invention

The invention provides a reflection type acoustic holographic imaging method based on a super surface, which is used for solving the problem that holographic imaging is deviated due to sound wave interference in special scene application of the traditional technology.

A method of reflectively acoustic holographic imaging based on a super-surface, comprising a reflectively acoustic holographic imaging device, the method comprising:

acquiring the working frequency of a reflection-type acoustic holographic imaging device, and determining an initial sound wave under the working frequency;

vertically injecting the initial sound wave into a reflection type acoustic holographic imaging device to obtain a reflection sound wave;

inputting the reflected sound wave into the reflected sound wave correction model to obtain a corrected sound wave;

and reconstructing a target image on an imaging surface of the reflection type acoustic holographic imaging device according to the corrected sound wave.

As an embodiment of the present invention, constructing a reflected acoustic wave correction model includes:

obtaining interfered reflected sound waves as original samples, and respectively processing the original samples based on a trained countersample generation model of different sound wave scenes to obtain second samples;

determining region division rules according to countermeasure sample generation models of different preset sound wave scenes;

performing region division on the second sample according to the region division rule to obtain a plurality of sample sound wave regions;

optimizing the second sample according to the divided sound wave regions of the plurality of samples based on the gradient by utilizing a Monte Carlo gradient estimation algorithm to generate a target countermeasure sample;

acquiring an initialized anti-interference reflected sound wave model;

and training the initialized anti-interference reflected sound wave model based on the target countermeasure sample and the original sample to obtain a reflected sound wave correction model.

As an embodiment of the present invention, acquiring interfered reflected sound waves as an original sample, and processing the original sample based on a trained antagonistic sample generation model of a preset variety of different sound wave scenes to obtain a second sample, includes:

obtaining interfered reflected sound waves as an original sample P epsilon O^α×β×γWherein alpha is sound wave frequency, beta is sound wave sound pressure, gamma is sound wave sound intensity, O is a set of original samples, the sound wave frequency of each original sample in the set O is alpha, the sound wave sound pressure is beta, the sound wave sound intensity is gamma, and P is included in O^α×β×γThe original sample of (a);

setting the types of sound wave scenes, and acquiring the sound wave frequency, the sound wave sound pressure and the sound wave sound intensity of different preset sound wave scenes in a preset second time;

acquiring a preset number of initialized confrontation sample generation models, and training the confrontation sample generation models based on the sound wave frequency, the sound wave sound pressure and the sound wave sound intensity in a preset second time to obtain the trained confrontation sample generation models of different sound wave scenes in a preset variety;

respectively inputting the original samples into trained confrontation sample generation models of different sound wave scenes to obtain outputs of preset quantity;

averaging the outputs of the preset number to obtain a second sample.

As an embodiment of the present invention, the performing region division on the second sample according to the region division rule includes:

acquiring average sound wave frequency, average sound wave sound pressure and average sound wave sound intensity of different sound wave scenes in a preset second time;

matching the average sound wave frequency, the average sound wave sound pressure and the average sound wave sound intensity of the second sample and different sound wave scenes in a preset second time, wherein the matching rule is as follows: performing difference operation on the sound wave frequency of the Q-th section of sound wave in the second sample and the average sound wave frequency to obtain a first difference value; performing difference operation on the sound wave sound pressure of the Q-th section of sound wave in the second sample and the average sound wave sound pressure to obtain a second difference; performing difference operation on the sound wave intensity of the Q-th section of sound wave in the second sample and the average sound wave intensity to obtain a third difference; respectively carrying out absolute value operation on the first difference, the second difference and the third difference, then carrying out addition operation to obtain a region value, and taking the sound wave scene with the lowest region value as a sample sound wave region of the Q-th section of sound wave in the second sample; wherein Q is a positive integer.

As an embodiment of the invention, the corrected sound wave forms a focused projection of one or more points on an imaging surface above the reflection type acoustic holographic imaging device to form a target image.

As an embodiment of the present invention, a method of reflective acoustic holographic imaging based on a super-surface, further comprises:

acquiring original sound wave data;

setting a sound wave frequency range;

determining second sound wave data which accord with the sound wave frequency range in the original sound wave data based on the sound wave frequency range;

determining acoustic wave position information of the second acoustic wave data;

carrying out data processing on the second sound wave data to obtain a sound wave frequency distribution diagram;

fusing the sound wave position information and the sound wave frequency distribution map to obtain a target sound wave distribution map;

and fusing the target sound wave distribution map and the target image to obtain a second target image.

As an embodiment of the present invention, the data processing of the second acoustic data to obtain an acoustic frequency distribution map includes:

performing fast Fourier transform calculation with the length of T on the second acoustic data to obtain a matrix Y;

setting a second sound wave frequency range;

determining second matrix data in the matrix Y according with the second sound wave frequency range based on the second sound wave frequency range;

fusing the matrix Y and the second matrix data to obtain a complex matrix Z;

setting an array steering vector based on the microphone array;

determining second weight data which accord with the second sound wave frequency range in the array guide vector based on the second sound wave frequency range;

combining the second weight data to obtain a weight matrix C;

performing point multiplication on different weights in the weight matrix C in the complex matrix Z to obtain a point multiplication matrix set;

summing any dot-by-matrix in the dot-by-matrix set according to rows to obtain a 1 x T-dimensional vector;

performing norm calculation on the 1 × T dimensional vector to obtain a norm calculation data result;

according to the norm calculation data result, determining an acoustic wave frequency distribution matrix D;

acquiring a correction matrix X of a microphone array;

calibrating and correcting the acoustic wave frequency distribution matrix D according to the correction matrix X to obtain a correction matrix J;

carrying out high-power interpolation processing on the correction matrix J to obtain an acoustic frequency distribution matrix S;

the acoustic frequency distribution matrix S is transformed into an acoustic frequency distribution map.

As an embodiment of the present invention, a method of reflective acoustic holographic imaging based on a super-surface, further comprises:

acquiring colors corresponding to different sound wave frequencies;

the second target image is converted into a third target image having a different color for visualizing different sonic frequencies according to the color corresponding to the different sonic frequencies.

Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.

The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.

Drawings

The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:

FIG. 1 is a schematic diagram of a method for reflection-type acoustic holographic imaging based on a super-surface in an embodiment of the present invention.

Detailed Description

The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.

Referring to fig. 1, an embodiment of the present invention provides a method for reflection type acoustic holographic imaging based on a super surface, including a reflection type acoustic holographic imaging apparatus, the method including:

step S101: acquiring the working frequency of a reflection-type acoustic holographic imaging device, and determining an initial sound wave under the working frequency;

step S102: vertically injecting the initial sound wave into a reflection type acoustic holographic imaging device to obtain a reflection sound wave;

step S103: inputting the reflected sound wave into the reflected sound wave correction model to obtain a corrected sound wave;

step S104: reconstructing a target image on an imaging surface of the reflection-type acoustic holographic imaging device according to the corrected sound wave;

the working principle of the technical scheme is as follows: the super surface is composed of only one or more layers of plane metals, the super surface in the invention preferably uses brass as the super surface material, the reflection type acoustic holographic imaging method is realized by a reflection type acoustic holographic imaging device, the reflection type acoustic holographic imaging device comprises a plurality of super surface cube structures, and the inside of each super surface cube structure comprises a first cube cavity and a second cube cavity; one side of the first cubic cavity is attached to one side of the second cubic cavity; the volume of first cube cavity and second cube cavity corresponds the adjustment along with the phase place change of reflection sound field, and further, inside first cube cavity and the unsettled super surperficial square structure of arranging in of second cube cavity, a plurality of super surperficial square structures adopt corresponding mode of arranging to form reflection-type acoustic holographic imaging device according to the phase place distribution of reflection sound field, include: acquiring the side length of the super-surface cube structure; the method comprises the steps of obtaining the heights of a first cubic cavity and a second cubic cavity in the super-surface cube structure, wherein the height of the first cubic cavity is the same as the height of the second cubic cavity; obtaining cube cavity data through simulation of a multi-physical-field simulation system, wherein the cube cavity data comprises: the length and width of the plurality of groups of first cubic cavities and the length and width of the plurality of groups of second cubic cavities; determining the phase of the reflected sound field according to the cubic cavity data; based on the phase of the reflected sound field, determining the phase distribution of the reflected sound field according to a Rayleigh-Sommerfeld diffraction formula, and acquiring an arrangement mode corresponding to the phase distribution of the reflected sound field in preset arrangement modes according to the phase distribution of the reflected sound field; the reflection-type acoustic holographic imaging method includes the following steps that a plurality of super-surface cube structures are arranged in a single-layer mode according to corresponding arrangement modes to form a reflection-type acoustic holographic imaging device, furthermore, the phase control range of a reflection sound field is from minus 180 degrees to plus 180 degrees, and better phase control is facilitated, and the reflection-type acoustic holographic imaging method specifically includes the following steps: step S101: acquiring the working frequency of a reflection-type acoustic holographic imaging device, and determining an initial sound wave under the working frequency; step S102: vertically injecting the initial sound wave into a reflection type acoustic holographic imaging device to obtain a reflection sound wave; step S103: inputting the reflected sound wave into the reflected sound wave correction model to obtain a corrected sound wave; step S104: reconstructing a target image on an imaging surface of the reflection-type acoustic holographic imaging device according to the corrected sound wave;

the beneficial effects of the above technical scheme are: through correcting the reflection sound wave for solve traditional super surface of utilizing acoustics, through design unit structure, directly produce the holographic sound field and can lead to the problem that there is the deviation in holographic formation because of sound wave interference when special scene is used, be of value to improving the accuracy of reflection formation of image.

In one embodiment, constructing the reflected acoustic wave correction model comprises:

obtaining interfered reflected sound waves as original samples, and respectively processing the original samples based on a trained countersample generation model of different sound wave scenes to obtain second samples;

determining region division rules according to countermeasure sample generation models of different preset sound wave scenes;

performing region division on the second sample according to the region division rule to obtain a plurality of sample sound wave regions;

optimizing the second sample according to the divided sound wave regions of the plurality of samples based on the gradient by utilizing a Monte Carlo gradient estimation algorithm to generate a target countermeasure sample;

acquiring an initialized anti-interference reflected sound wave model;

training the initialized anti-interference reflected sound wave model based on the target countermeasure sample and the original sample to obtain a reflected sound wave correction model;

the working principle of the technical scheme is as follows: obtaining interfered reflected sound waves as original samples, respectively processing the original samples based on trained antagonistic sample generation models of different sound wave scenes to obtain second samples, determining region division rules according to the antagonistic sample generation models of the different sound wave scenes, performing region division on the second samples according to the region division rules to obtain a plurality of sample sound wave regions, performing gradient-based optimization on the second samples according to the divided sample sound wave regions by utilizing a Monte Carlo gradient estimation algorithm to generate target antagonistic samples, and obtaining initialized anti-interference reflected sound wave models; training the initialized anti-interference reflected sound wave model based on the target countermeasure sample and the original sample to obtain a reflected sound wave correction model;

the beneficial effects of the above technical scheme are: the second sample is optimized based on the gradient according to the divided sample sound wave regions through a Monte Carlo gradient estimation algorithm, generation efficiency of the countermeasure sample is improved, the countermeasure sample is trained through an initialized anti-interference reflected sound wave model, a reflected sound wave correction model is obtained, the identification capability of the reflected sound wave correction model on whether the reflected sound wave is the interfered reflected sound wave or not is beneficially improved, and therefore correction accuracy of the reflected sound wave correction model is improved.

In one embodiment, a method of reflective acoustic holographic imaging based on a super-surface further comprises:

obtaining interfered reflected sound waves as original samples, and respectively processing the original samples based on a trained countersample generation model of different sound wave scenes of a preset variety to obtain second samples, wherein the method comprises the following steps:

obtaining interfered reflected sound waves as an original sample P epsilon O^α×β×γWherein alpha is sound wave frequency, beta is sound wave sound pressure, gamma is sound wave sound intensity, O is a set of original samples, the sound wave frequency of each original sample in the set O is alpha, the sound wave sound pressure is beta, the sound wave sound intensity is gamma, and P is included in O^α×β×γThe original sample of (a);

setting the types of sound wave scenes, and acquiring the sound wave frequency, the sound wave sound pressure and the sound wave sound intensity of different preset sound wave scenes in a preset second time;

acquiring a preset number of initialized confrontation sample generation models, and training the confrontation sample generation models based on the sound wave frequency, the sound wave sound pressure and the sound wave sound intensity in a preset second time to obtain the trained confrontation sample generation models of different sound wave scenes in a preset variety;

respectively inputting the original samples into trained confrontation sample generation models of different sound wave scenes to obtain outputs of preset quantity;

averaging the outputs of the preset number to obtain a second sample;

the working principle of the technical scheme is as follows: obtaining interferedThe method comprises the following steps of taking reflected sound waves as original samples, respectively processing the original samples based on trained confrontation sample generation models of different sound wave scenes in a preset manner, and obtaining second samples, wherein the method comprises the following steps: obtaining interfered reflected sound waves as an original sample P epsilon O^α×β×γWherein alpha is sound wave frequency, beta is sound wave sound pressure, gamma is sound wave sound intensity, O is a set of original samples, the sound wave frequency of each original sample in the set O is alpha, the sound wave sound pressure is beta, the sound wave sound intensity is gamma, and P is included in O^α×β×γThe original sample of (a); setting the types of sound wave scenes, and acquiring the sound wave frequency, the sound wave sound pressure and the sound wave sound intensity of different preset sound wave scenes in a preset second time; acquiring a preset number of initialized confrontation sample generation models, and training the confrontation sample generation models based on the sound wave frequency, the sound wave sound pressure and the sound wave sound intensity in a preset second time to obtain the trained confrontation sample generation models of different sound wave scenes in a preset variety; respectively inputting the original samples into trained confrontation sample generation models of different sound wave scenes to obtain outputs of preset quantity; averaging the output of the preset number to obtain a second sample, wherein the preset number and the preset variety are the number of sound wave scenes participating in the countermeasure training at the time, and the sound wave scenes comprise but are not limited to factory scenes with sound wave interference, outdoor high-voltage tower scenes, transformer substation scenes and the like;

the beneficial effects of the above technical scheme are: the original samples are respectively processed through a plurality of different sound wave scenes to obtain second samples, so that the improvement of the representativeness of the second samples is facilitated, and the correction accuracy of the reflected sound wave correction model is improved when a target countermeasure sample is subsequently generated according to the second samples and the reflected sound wave correction model is obtained according to the countermeasure sample training.

In one embodiment, the area dividing the second sample according to the area dividing rule includes:

acquiring average sound wave frequency, average sound wave sound pressure and average sound wave sound intensity of different sound wave scenes in a preset second time;

matching the average sound wave frequency, the average sound wave sound pressure and the average sound wave sound intensity of the second sample and different sound wave scenes in a preset second time, wherein the matching rule is as follows: performing difference operation on the sound wave frequency of the Q-th section of sound wave in the second sample and the average sound wave frequency to obtain a first difference value; performing difference operation on the sound wave sound pressure of the Q-th section of sound wave in the second sample and the average sound wave sound pressure to obtain a second difference; performing difference operation on the sound wave intensity of the Q-th section of sound wave in the second sample and the average sound wave intensity to obtain a third difference; respectively carrying out absolute value operation on the first difference, the second difference and the third difference, then carrying out addition operation to obtain a region value, and taking the sound wave scene with the lowest region value as a sample sound wave region of the Q-th section of sound wave in the second sample; wherein Q is a positive integer;

the working principle of the technical scheme is as follows: acquiring average sound wave frequency, average sound wave sound pressure and average sound wave sound intensity of different sound wave scenes in a preset second time; matching the average sound wave frequency, the average sound wave sound pressure and the average sound wave sound intensity of the second sample and different sound wave scenes in a preset second time, wherein the matching rule is as follows: performing difference operation on the sound wave frequency of the Q-th section of sound wave in the second sample and the average sound wave frequency to obtain a first difference value; performing difference operation on the sound wave sound pressure of the Q-th section of sound wave in the second sample and the average sound wave sound pressure to obtain a second difference; performing difference operation on the sound wave intensity of the Q-th section of sound wave in the second sample and the average sound wave intensity to obtain a third difference; respectively carrying out absolute value operation on the first difference, the second difference and the third difference, then carrying out addition operation to obtain a region value, and taking the sound wave scene with the lowest region value as a sample sound wave region of the Q-th section of sound wave in the second sample; q is a positive integer, and the Q-th section of sound wave represents any section of sound wave;

the beneficial effects of the above technical scheme are: and carrying out region division on the second sample, and subdividing each section of sound wave in the second sample according to the region value obtained by calculation with different sound wave scenes, so that the independence among a plurality of sample sound wave regions is improved, and the generation efficiency of the target countermeasure sample is improved when the second sample is subsequently optimized based on the gradient.

In one embodiment, the corrective acoustic wave forms a focused projection of one or more points on an imaging surface above the reflective acoustic holographic imaging device, forming a target image.

In one embodiment, a method of reflective acoustic holographic imaging based on a super-surface, further comprises:

acquiring original sound wave data;

setting a sound wave frequency range;

determining second sound wave data in the original sound wave data according with the sound wave frequency range based on the sound wave frequency range;

determining acoustic position information of the second acoustic data;

carrying out data processing on the second sound wave data to obtain a sound wave frequency distribution diagram;

fusing the sound wave position information and the sound wave frequency distribution map to obtain a target sound wave distribution map;

fusing the target sound wave distribution map and the target image to obtain a second target image;

the working principle of the technical scheme is as follows: acquiring original sound wave data, including but not limited to acquiring the original sound wave data through a microphone array, setting a sound wave frequency range, wherein the sound wave frequency range is a frequency range of sound waves required to be detected by a user, and determining second sound wave data which accord with the sound wave frequency range in the original sound wave data based on the sound wave frequency range; determining sound wave position information of the second sound wave data, preferably determining sound wave position information of the second sound wave data according to a sound wave positioning method; processing the data of the second sound wave data to obtain a sound wave frequency distribution diagram, wherein the sound wave frequency distribution diagram comprises sound wave frequency data of all sound wave frequencies in a current scene within a sound wave frequency range, fusing the sound wave position information and the sound wave frequency distribution diagram to obtain a target sound wave distribution diagram, the target sound wave distribution diagram comprises sound wave position distribution and sound wave frequency data of all sound wave frequencies in the current scene within the sound wave frequency range, fusing the target sound wave distribution diagram and the target image to obtain a second target image, and the second target image comprises information of target imaging content, a target position, a target sound wave frequency and the like;

the beneficial effects of the above technical scheme are: the target sound wave is positioned, a second target image is constructed, the second target image comprises information such as target imaging content, the position of a target and target sound wave frequency, sound wave data and the position of the second target image are visualized, the target is analyzed through the second target image, the information comprehensiveness of the holographic image is improved beneficially, and the practicability of the holographic image is improved.

In one embodiment, the data processing the second acoustic data to obtain an acoustic frequency map comprises:

performing fast Fourier transform calculation with the length of T on the second acoustic data to obtain a matrix Y;

setting a second sound wave frequency range;

determining second matrix data in the matrix Y according with the second sound wave frequency range based on the second sound wave frequency range;

fusing the matrix Y and the second matrix data to obtain a complex matrix Z;

setting an array steering vector based on the microphone array;

determining second weight data which accord with the second sound wave frequency range in the array guide vector based on the second sound wave frequency range;

combining the second weight data to obtain a weight matrix C;

performing point multiplication on different weights in the weight matrix C in the complex matrix Z to obtain a point multiplication matrix set;

summing any dot-by-matrix in the dot-by-matrix set according to rows to obtain a 1 x T-dimensional vector;

performing norm calculation on the 1 × T dimensional vector to obtain a norm calculation data result;

according to the norm calculation data result, determining an acoustic wave frequency distribution matrix D;

acquiring a correction matrix X of a microphone array;

calibrating and correcting the acoustic wave frequency distribution matrix D according to the correction matrix X to obtain a correction matrix J;

carrying out high-power interpolation processing on the correction matrix J to obtain an acoustic frequency distribution matrix S;

transforming the acoustic frequency distribution diagram of the acoustic frequency distribution matrix S;

the working principle of the technical scheme is as follows: and performing data processing on the second acoustic data to obtain an acoustic frequency distribution map, wherein the acoustic frequency distribution map comprises: performing fast Fourier transform calculation with the length of T on the second acoustic data to obtain a matrix Y; setting a second sound wave frequency range; determining second matrix data in the matrix Y according with the second sound wave frequency range based on the second sound wave frequency range; fusing the matrix Y and the second matrix data to obtain a complex matrix Z; setting an array steering vector based on the microphone array; determining second weight data which accord with the second sound wave frequency range in the array guide vector based on the second sound wave frequency range; combining the second weight data to obtain a weight matrix C; performing point multiplication on different weights in the weight matrix C in the complex matrix Z to obtain a point multiplication matrix set; summing any dot-by-matrix in the dot-by-matrix set according to rows to obtain a 1 x T-dimensional vector; performing norm calculation on the 1 × T dimensional vector to obtain a norm calculation data result; according to the norm calculation data result, determining an acoustic wave frequency distribution matrix D; acquiring a correction matrix X of a microphone array; calibrating and correcting the acoustic wave frequency distribution matrix D according to the correction matrix X to obtain a correction matrix J; carrying out high-power interpolation processing on the correction matrix J to obtain an acoustic frequency distribution matrix S; transforming the acoustic frequency distribution diagram of the acoustic frequency distribution matrix S;

the beneficial effects of the above technical scheme are: the data calculation efficiency is improved before the fast Fourier transform calculation is carried out high-power interpolation processing, and the accuracy of the distribution matrix D is improved by calibrating and correcting the sound wave frequency distribution matrix D through the correction matrix X.

In one embodiment, a method of reflective acoustic holographic imaging based on a super-surface further comprises:

acquiring colors corresponding to different sound wave frequencies;

converting the second target image into a third target image having different colors for visualizing different acoustic frequencies according to colors corresponding to the different acoustic frequencies;

the working principle of the technical scheme is as follows: acquiring colors corresponding to different sound wave frequencies, such as but not limited to 1000hz-2000hz, which can be displayed as green on an imaging interface, and converting the second target image into a third target image with different colors for visualizing the different sound wave frequencies according to the colors corresponding to the different sound wave frequencies, wherein the third target image comprises target imaging content, a target position, target sound wave frequencies with colors and the like;

the beneficial effects of the above technical scheme are: the different sound wave frequencies of the third target image display different colors, which is helpful for users to acquire the content in the third target image more quickly and comprehensively.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.