阅读说明：本技术 一种基于esprit算法的分离式长电偶极子的角度估计方法 (Angle estimation method of separated long electric dipole based on ESPRIT algorithm ) 是由 宋玉伟 胡国平 张帅 郑桂妹 于 2020-04-11 设计创作，主要内容包括：本发明公开了一种基于ESPRIT算法的分离式长电偶极子的角度估计方法,包含以下步骤：A、建立信号模型；B、利用ESPRIT得到y轴方向高精度估计值；C、利用x轴方向的两个相同的极化阵元比值,得到x轴方向高精度估计值；D、利用高精度估计模糊值来补偿三个阵元的空间相移因子从而得到三正交同心的导向矢量,进而计算得到方位和俯仰的粗估计值；E、将粗估计值和精估计值拟合,寻找最小的误差值既可得到真实的估计值,本发明具有以下优点：(1)无需提前知道角度或者极化的先验知识。(2)分离式互耦影响小。(3)分离式阵列结构可以任意。(4)阵元间距远大于半波长,即孔径大估计精度高。(5)无需搜索,计算量小。(The invention discloses an angle estimation method of a separated long electric dipole based on an ESPRIT algorithm, which comprises the following steps: A. establishing a signal model; B. obtaining a high-precision estimated value in the y-axis direction by utilizing ESPRIT; C. obtaining a high-precision estimated value in the x-axis direction by utilizing two same polarization array element ratios in the x-axis direction; D. compensating space phase shift factors of the three array elements by using a high-precision estimation fuzzy value so as to obtain three orthogonal concentric guide vectors, and further calculating to obtain rough estimation values of azimuth and pitch; E. fitting the rough estimation value and the fine estimation value, and finding the minimum error value to obtain a real estimation value, wherein the method has the following advantages: (1) no a priori knowledge of the angle or polarization is needed. (2) The influence of the separated mutual coupling is small. (3) The split array structure may be arbitrary. (4) The array element spacing is far larger than half wavelength, namely the aperture is large and the estimation precision is high. (5) And searching is not needed, and the calculation amount is small.)

1. An angle estimation method of a separated long electric dipole based on an ESPRIT algorithm is characterized by comprising the following steps:

A. establishing a signal model;

B. obtaining a high-precision estimated value in the y-axis direction by utilizing ESPRIT;

C. obtaining a high-precision estimated value in the x-axis direction by utilizing two same polarization array element ratios in the x-axis direction;

D. compensating space phase shift factors of the three array elements by using a high-precision estimation fuzzy value so as to obtain three orthogonal concentric guide vectors, and further calculating to obtain rough estimation values of azimuth and pitch;

E. fitting the rough estimation value and the fine estimation value, and searching the minimum error value to obtain a real estimation value.

2. The method of claim 1, wherein the estimation of the angle of the separated electric dipole based on the ESPRIT algorithm is a fuzzy estimation.

3. The method of claim 1, wherein the estimation of the angle of the separated electric dipole based on the ESPRIT algorithm is a fuzzy estimation.

4. The method of claim 1, wherein the signal model in step A is a tri-orthogonal electric dipole array.

5. The method of claim 4, wherein the three orthogonal electric dipole arrays are composed of 8 electric dipoles.

6. The method for estimating the angle of a separated long electric dipole based on the ESPRIT algorithm of claim 1, wherein the three orthogonal long electric dipole array comprises two separated sets of three orthogonal electric dipoles, which are respectively expressed as: ex, Ey and Ez, wherein the first set of three electric dipoles have the coordinates: ex ═ 0, y_a,0)，Ey＝(0,y_b,0)，Ez＝(0,y_c,0)。

Technical Field

The invention relates to the technical field of angle estimation algorithms, in particular to an angle estimation method of a separated long electric dipole based on an ESPRIT algorithm.

Background

Most of the existing angle estimation algorithms are parameter estimation algorithms based on short electric dipoles and small magnetic rings, but the radiation efficiency of the short electric dipoles and the small magnetic rings is low; the existing parameter estimation algorithm based on the condition of a long electric dipole and a large magnetic loop can estimate a two-dimensional angle of a target only by knowing polarization information in advance, and the realization of the algorithm in the radar application field is seriously influenced.

The polarization diversity can be improved by the polarization sensitive array, so that the parameter estimation precision of the target can be improved. Therefore, the estimation problem of the angle and the polarization parameter based on the polarization sensitive array is widely researched. The existing parameter estimation method based on the condition of the short electric dipole and the small magnetic ring comprises various estimation algorithms under the condition of a concurrent electromagnetic vector sensor, various estimation algorithms under the condition of a separated electromagnetic vector sensor and various estimation algorithms based on sparse representation under the condition of the concurrent and separated vector sensors, but the radiation efficiency of the short electric dipole and the small magnetic ring is low.

Disclosure of Invention

The invention aims to provide an angle estimation method of a separated long electric dipole based on an ESPRIT algorithm, so as to solve the problems in the background technology.

In order to achieve the purpose, the invention provides the following technical scheme:

an angle estimation method of a separated long electric dipole based on an ESPRIT algorithm comprises the following steps:

A. establishing a signal model;

B. obtaining a high-precision estimated value in the y-axis direction by utilizing ESPRIT;

C. obtaining a high-precision estimated value in the x-axis direction by utilizing two same polarization array element ratios in the x-axis direction;

D. compensating space phase shift factors of the three array elements by using a high-precision estimation fuzzy value so as to obtain three orthogonal concentric guide vectors, and further calculating to obtain rough estimation values of azimuth and pitch;

E. fitting the rough estimation value and the fine estimation value, and searching the minimum error value to obtain a real estimation value.

As a further technical scheme of the invention: and B, obtaining an estimation value which is a fuzzy estimation value.

As a further technical scheme of the invention: and C, obtaining an estimation value which is a fuzzy estimation value.

As a further technical scheme of the invention: and B, the signal model in the step A is a three-orthogonal long electric dipole array.

As a further technical scheme of the invention: the three-orthogonal long electric dipole array consists of 8 electric dipoles.

As a further technical scheme of the invention: the three-orthogonal long electric dipole array comprises two groups of separated three-orthogonal electric dipoles which are respectively marked as: ex, Ey and Ez, wherein the first set of three electric dipoles have the coordinates: ex ═ 0, y_a,0)，Ey＝(0,y_b,0)，Ez＝(0,y_c,0)。

Compared with the prior art, the invention has the beneficial effects that: the invention provides a method for estimating a two-dimensional angle of a target by an ESPRIT (extreme small-aperture radar) based algorithm aiming at an array consisting of a long electric dipole and a large magnetic ring, so as to solve the problem that the two-dimensional angle of the target can be estimated only by knowing polarization information in advance in the conventional algorithm. The array can be composed of 3 orthogonal ' long ' electric dipoles, or three orthogonal ' large ' magnetic rings, or a mixed long ' electric dipole and a ' large ' magnetic ring. The array has eight array elements, 4 of which and the other 4 of which constitute a rotation invariant feature, a fine estimate of the two-dimensional direction cosine can be obtained but with a fuzzy value. And then, carrying out reverse estimation through a separated three-orthogonal vector sensor to obtain a fuzzy rough estimation of the angle. And comparing the fuzzy fine estimation value with the fuzzy coarse estimation value to find a group of estimation values which are closest to the fuzzy fine estimation value, and taking the fine estimation value as a two-dimensional angle estimation value of the target. The algorithm does not need searching and has small calculation amount. And the array element radiation efficiency is high.

Drawings

Fig. 1 is a structural diagram of a three-orthogonal long electric dipole array.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1, embodiment 1: an angle estimation method of a separated long electric dipole based on an ESPRIT algorithm comprises the following steps:

A. establishing a signal model; the signal model is a three-orthogonal long electric dipole array, the three-orthogonal long electric dipole array is composed of 8 electric dipoles, the three-orthogonal long electric dipole array is provided with two groups of separated three-orthogonal electric dipoles, and the three-orthogonal long electric dipole array is respectively marked as: ex, Ey and Ez, wherein the first set of three electric dipoles have the coordinates: ex ═ 0, y_a,0)，Ey＝(0,y_b,0)，Ez＝(0,y_c,0)；

B. Obtaining a high-precision estimated value in the y-axis direction by utilizing ESPRIT;

C. obtaining a high-precision estimated value in the x-axis direction by utilizing two same polarization array element ratios in the x-axis direction;

D. compensating space phase shift factors of the three array elements by using a high-precision estimation fuzzy value so as to obtain three orthogonal concentric guide vectors, and further calculating to obtain rough estimation values of azimuth and pitch;

E. fitting the rough estimation value and the fine estimation value, and searching the minimum error value to obtain a real estimation value.