阅读说明：本技术 基于稀疏感应电流的介质材料实时微波成像方法 (Dielectric material real-time microwave imaging method based on sparse induction current ) 是由 周天益 董旭 于 2021-07-19 设计创作，主要内容包括：本发明公开了一种基于稀疏感应电流的介质材料实时微波成像方法。成像过程中,旋转待测目标,使得待测目标被发射天线的入射场均匀照射,通过接收天线接收散射场信号,散射场信号采用稀疏方法处理获得待测目标的感应电流分布,再利用待测目标的感应电流分布结合总电场处理获得待测目标的成像结果。本发明方法可有效地改善微波成像问题的病态性,提高成像质量,具备实施简便、非迭代计算、实时成像等特点。(The invention discloses a medium material real-time microwave imaging method based on sparse induction current. In the imaging process, the target to be measured is rotated, so that the target to be measured is uniformly irradiated by an incident field of the transmitting antenna, a scattered field signal is received by the receiving antenna, the scattered field signal is processed by a sparse method to obtain induced current distribution of the target to be measured, and then the induced current distribution of the target to be measured is combined with the total electric field to process to obtain an imaging result of the target to be measured. The method can effectively improve the ill-posed nature of the microwave imaging problem, improves the imaging quality, and has the characteristics of simple and convenient implementation, non-iterative computation, real-time imaging and the like.)

1. A dielectric material real-time microwave imaging method based on sparse induction current is characterized in that: in the imaging process, the target (3) to be measured is rotated, so that the target (3) to be measured is uniformly irradiated by an incident field, a scattered field signal is received through a receiving antenna, the scattered field signal is processed by a sparse method to obtain induced current distribution of the target to be measured, and the induced current distribution of the target to be measured is combined with a total electric field to process to obtain an imaging result of the target to be measured.

2. The real-time microwave imaging method for the dielectric material based on the sparse induction current as claimed in claim 1, wherein the method comprises the following steps: and performing inversion processing on the scattered field signal by adopting a sparse regularization method to obtain induced current of the target to be detected, and forming sparse induced current.

3. The real-time microwave imaging method for the dielectric material based on the sparse induction current as claimed in claim 1, wherein the method comprises the following steps: the total electric field mainly comprises an incident field and a scattered field, and the induced current of the target to be detected is input into a linear equation between the induced current and the total electric field to be processed to obtain an imaging result of the target to be detected.

4. The real-time microwave imaging method for the dielectric material based on the sparse induction current as claimed in claim 1, wherein the method comprises the following steps: the method adopts a microwave imaging system, the microwave imaging system comprises a transmitting antenna (1) and a plurality of receiving antennas (2) which are arranged around a circle of a target (3) to be measured, and the transmitting antenna (1) and the receiving antennas (2) are arranged around the target to be measured at intervals.

5. The real-time microwave imaging method for the dielectric material based on the sparse induction current as claimed in claim 4, wherein the method comprises the following steps: the transmitting antenna (1) transmits electromagnetic waves to irradiate an imaging area where the target to be detected (3) is located to form an incident field, the incident field and the target to be detected interact to generate induced current inside the target to be detected (3), and the induced current of the target to be detected (3) serves as a secondary source to transmit the electromagnetic waves to form a scattered field which is received by the receiving antenna (2).

6. The real-time microwave imaging method for the dielectric material based on the sparse induction current as claimed in claim 4, wherein the method comprises the following steps: the antenna is a single-frequency antenna, and the working frequency of the transmitting antenna (1) is the same as that of the receiving antenna (2).

7. The real-time microwave imaging method for the dielectric material based on the sparse induction current as claimed in claim 1, wherein the method comprises the following steps: the target (3) to be measured is a non-magnetic medium material.

8. The real-time microwave imaging method for the dielectric material based on the sparse induction current as claimed in claim 1, wherein the method comprises the following steps: the imaging result comprises the numerical value and the spatial distribution of the dielectric constant of the target to be measured.

Technical Field

The invention relates to a real-time microwave imaging method, in particular to a dielectric material real-time microwave imaging method based on sparse induction current.

Background

Microwave imaging is widely used in various scenes, such as dielectric constant measurement, security inspection, medical diagnosis, etc., as a non-contact technique, using the penetration characteristics of electromagnetic waves. In practical engineering applications, it is particularly important to acquire imaging results in real time or quasi-real time. Essentially, microwave imaging is a backscattering problem, and generally involves extracting electromagnetic property information of an unknown target from a scattered electromagnetic field generated by interaction of the target with an incident electromagnetic field. In order to solve the inherent nonlinearity and pathophysiology of the backscattering problem, there are two main categories, iterative methods and non-iterative methods. The iteration method based on the full-wave scattering model obtains an inversion result by optimizing an objective function, such as a Bern iteration method, a contrast source inversion method, a Gauss-Newton method, a subspace optimization algorithm and the like, and the algorithm has the defect of large calculated amount and cannot be applied to a real-time scene.

Recently, imaging methods based on machine learning can also be considered as a recent variation of iterative methods. Although the imaging speed can be accelerated by applying machine learning, the computing resource requirement of the training data model is high, and the rapid deployment of the real-time microwave imaging system cannot be realized. Under specific conditions, the nonlinear backscattering problem can be converted into a linear model or decomposed into a plurality of linear equations, so that the non-iterative real-time inversion with efficient calculation is realized. The traditional non-iterative algorithm does not consider full-wave scattering, so that the inversion result is rough, and the dielectric constant and the spatial distribution of the target to be detected cannot be accurately obtained.

Thus, the prior art lacks a non-iterative algorithm for improving imaging quality that can be used for rapid real-time imaging and measurement of media materials.

Disclosure of Invention

In order to solve the problems in the background art, the invention provides a real-time microwave imaging method based on sparse induction current. The method can effectively improve the ill-posed characteristic of the microwave imaging problem and improve the imaging quality under the condition of non-iterative operation processing by calculating the sparse induction current, and has the characteristics of simple and convenient implementation, non-iterative calculation, real-time imaging and the like.

The technical scheme adopted by the invention for solving the technical problems is as follows:

in the imaging process, the target to be measured is rotated, so that the target to be measured is uniformly irradiated by an incident field of the transmitting antenna, a scattered field signal is received by the receiving antenna, the scattered field signal is processed by a sparse method to obtain induced current distribution of the target to be measured, sparse induced current is formed, and then the induced current distribution of the target to be measured is combined with total electric field processing to obtain an imaging result of the target to be measured.

The uniform irradiation is realized by rotating the target to be measured by the same angle according to the rotating direction every time.

The scattered field signal is composed of the received signals of all the receiving antennas, and the received signals of all the receiving antennas are collected to form the scattered field signal.

And performing inversion processing on the scattered field signal by using sparse prior information and adopting a sparse regularization method to obtain induced current of the target to be detected, so as to form sparse induced current.

The sparse prior information refers to that the target to be detected has a spatial sparse characteristic in an imaging region

The total electric field mainly comprises an incident field and a scattering field, and the induced current of the target to be detected is input into a linear equation/relation between the induced current and the total electric field to be processed to obtain an imaging result of the target to be detected.

The method adopts a microwave imaging system, wherein the microwave imaging system comprises a transmitting antenna and a plurality of receiving antennas which are arranged around a circle of the target to be detected, and the transmitting antenna and the plurality of receiving antennas are arranged around the target to be detected at intervals.

The transmitting antenna transmits electromagnetic waves to irradiate an imaging area where a target to be detected is located to form an incident field, the incident field and the target to be detected interact to generate induced current in the target to be detected, the induced current of the target to be detected serves as a secondary source to transmit the electromagnetic waves to form a scattering field, and the scattering field is received by the receiving antenna.

The antenna is a single-frequency antenna, and the working frequency of the transmitting antenna is the same as that of the receiving antenna.

The target to be measured is a non-magnetic medium material.

The imaging result comprises the numerical value and the spatial distribution of the dielectric constant of the target to be measured.

The sparse regularization method is usually used for the final imaging step, and has the effect that a rough inversion result is directly obtained, and the dielectric constant and the spatial distribution of the target to be detected cannot be accurately obtained or are only used as intermediate iteration values of an iterative imaging method.

The sparse regularization method is used for processing and obtaining the induced current, and then the induced current is divided by the total electric field for imaging, so that the ill-posed characteristic of the microwave imaging problem is improved, the advantages/effects of the dielectric constant and the spatial distribution of the target to be detected are accurately obtained in real time, and an unexpected technical effect is obtained.

The computation time for the real-time imaging is less than one millisecond.

Therefore, the invention adopts a sparse regularization method and applies sparse prior information to the solving process of the induced current, thereby recovering the original signal by sparse undersampling and greatly reducing the complexity of the system and the processing time of the signal.

The invention has the beneficial effects that:

different from the background technology in which the traditional non-iterative backscatter imaging technology can only obtain a rough imaging result, the method obtains the sparse induced current through the sparse regularization method, improves the accuracy of the solution of the sick linear equation in the microwave imaging problem, and thus improves the final imaging quality.

The method has the characteristics of improving the real-time microwave imaging quality by utilizing the sparse induction current, having the advantages of simple and convenient implementation, real-time calculation, good imaging effect and the like, along with high speed and enhanced accuracy.

Drawings

FIG. 1 is a schematic view of an imaging system of the present invention;

FIG. 2 is a diagram illustrating an original image and ideal induced current distribution of a target under test according to an embodiment of the present invention; fig. 2(a) shows an original image of the object to be measured, and fig. 2(b) shows an ideal induced current distribution of the object to be measured;

FIG. 3 is a schematic diagram of an inverse induced current distribution of an embodiment of the present invention; fig. 3(a) shows induced current distribution inverted by a conventional back scattering BP algorithm, and fig. 3(b) shows induced current distribution inverted by a sparse regularization method;

FIG. 4 is a schematic illustration of imaging of an embodiment of the invention; fig. 4(a) shows a reconstructed image based on induced current obtained by inversion with the BP algorithm, and fig. 4(b) shows a reconstructed image based on sparse induced current obtained by sparse regularization.

In the figure: the device comprises a transmitting antenna 1, a receiving antenna 2, a target 3 to be measured, a rotating direction 4 and an imaging area 5.

Detailed Description

The following describes the implementation process of the present invention in detail with reference to the attached drawings in the embodiment of the present invention.

The specific implementation of the invention is as follows:

1) constructing a microwave imaging system: comprises an object to be measured, a transmitting antenna and a plurality of receiving antennas, wherein the transmitting antenna and the receiving antennas are placed around the object to be measured in a circle. The transmitting antenna transmits electromagnetic waves to irradiate an imaging area where a target to be detected is located to form an incident field, the incident field and the target to be detected interact to generate induced current in the target to be detected, the induced current of the target to be detected is transmitted as a secondary source to form a scattering field, and the scattering field is finally received by the receiving antenna. 2) And rotating the target to be measured according to the same angle, so that the target to be measured is uniformly irradiated by the transmitting antenna.

3) In the electromagnetic imaging problem based on backscattering, the process of forming a scattered field by the induced current as a secondary source emission to be received by the receiving antenna can be expressed as:

E^s＝G_sJ (1)

wherein G is_sFor a known Green's function matrix between the receiving antenna and the imaging area, E^sRepresenting scattered field signals obtained by measurement and summary of all receiving antennas, wherein J is induced current of the target to be measured; obtaining sparse induction current by utilizing sparse prior information and scattered field signals and adopting a sparse regularization method for inversion

4) Establishing a linear equation between the induced current and the total electric field:

J＝XE^t (2)

wherein E is^tX is the dielectric constant distribution in the imaging region for the total electric field. Calculating the total electric field, i.e. E, by superimposing the scattered field with the incident field^t＝Eⁱ+G_dJ, wherein G_dFor a known matrix of Green's functions in the imaging area, EⁱRepresenting a known incident field. .

Induced current based inversionAnd solving the linear equation (2) in a non-iterative manner by using an analytical method to obtain the dielectric constant distribution X in the imaging region, namely, the dielectric constant distribution X is used as a reconstructed image of the object to be detected.

The specific embodiment and the implementation process of the invention are as follows:

as shown in figure 1, the transmitting antenna 1 is fixed in position, and an electromagnetic field is transmitted to irradiate a target to be measured to form an incident field. The receiving antennas 2 are arranged around the target 3 to be measured at equal intervals for receiving the scattered field signal of the coupling target information. The target 3 to be measured is rotated by the same angle in the rotation direction 4 so that the target 3 to be measured is uniformly irradiated by the transmitting antenna 1. The transmitting antenna 1 and the receiving antenna 2 operate at the same frequency, corresponding to a wavelength λ in free space. The imaging area 5 is set as a square area with a side length of 2 λ, and discrete grids are divided according to imaging resolution requirements. As shown in fig. 2(a), the target to be measured is a non-central organic glass cylinder with a cross section of 0.2 λ and a dielectric constant of 3, and the color map represents the dielectric constant value. Fig. 2(b) shows an ideal induced current distribution, and the color map shows a normalized current value.

The method specifically implements real-time imaging detection of dielectric constant value and spatial distribution of a target to be detected by taking a dielectric material as an object. In the imaging detection process, no special requirements are required for the shape and the position of a target to be detected, and the method can be widely applied to non-contact measurement of dielectric constants in industry.

The imaging method comprises the following specific steps:

1) first, inverting the induced currentIn the embodiment, the induced current of the target to be measured is inverted by adopting a traditional backscattering BP algorithm and a sparse regularization method, the comparison of the results is shown in fig. 3(a) and fig. 3(b), and the color map is represented by a normalized current value.

The comparison result shows that the induced current inverted by the traditional backscattering BP algorithm is distorted due to the ill-conditioned nature of the microwave imaging problem, but the induced current inverted by the unconventional sparse regularization method still has sparse characteristics, and the position and the distribution of the induced current are consistent with those of the original induced current (figure 2 (b)).

2) And secondly, reconstructing a target image. Induced current distribution obtained based on first-step inversionAnd establishing a linear equation between the induced current and the total electric field, and resolving the linear equation by adopting a least square method to obtain the dielectric constant distribution X in the imaging region.

Fig. 4(a) is a reconstructed image obtained based on the induced current of BP inversion. The result shows that the reconstruction result is accompanied by an additional outer ring structure, and the dielectric constant of the inverted target is 2, which indicates that the traditional backscatter imaging result is distorted and the imaging quality is rough, the root mean square error obtained by calculation is 0.3, and the high-quality imaging scene requirement is difficult to meet.

Fig. 4(b) is a reconstructed image based on the sparse induced current obtained by the sparse regularization. The results show that the position and contour of the target completely coincide with the original image, and the background is clear and free of interference. The dielectric constant of the target obtained by inversion calculation is 3, the dielectric constant is consistent with the dielectric constant value of the original target, and the root mean square error obtained by calculation is 0.1. The method shows that the ill-posed nature of the microwave imaging problem can be effectively improved by using the sparse induction current, so that the imaging quality is improved.

Therefore, the embodiment shows that the real-time microwave imaging method based on the sparse induction current improves the ill-posed characteristic of the microwave imaging problem by using the sparse prior information, thereby improving the imaging quality, and has the prominent and obvious technical effects of low cost, simple and convenient implementation, non-iterative computation, real-time imaging and the like.

The above description is only for the specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.