L-array azimuthal angle and pitch angle paired signal processing method

Abstract

The invention relates to an L-array azimuthal angle and pitch angle paired signal processing method, and belongs to the field of radio signal processing. The L-array azimuthal angle and pitch angle paired signal processing method is used for solving the paired problem generated when an L-array two-dimensional arrival angle estimation problem is decomposed into two one-dimensional arrival angle estimation problems. The L-array azimuthal angle and pitch angle paired signal processing method aims at achieving automatic pairing between two sets of one-dimensional arrival angles on the basis that the two sets of one-dimensional arrival angles are measured. The estimation algorithm and the pairing algorithm of the two sets of one-dimensional arrival angles are independently carried out. The one-dimensional arrival angles are paired based on the maximum-likelihood criterion so that the L-array azimuthal angle and pitch angle paired signal processing method can have high robustness. The L-array azimuthal angle and pitch angle paired signal processing method has the advantages that the pairing and the estimation of the one-dimensional arrival angles are independently carried out, the processing procedure of the paired method is not influenced by the estimation procedure of the one-dimensional arrival angles, the L-array azimuthal angle and pitch angle paired signal processing method has high robustness under the conditions of the low signal-to-noise ratio and the small snapshot number, and under the conditions of a coherent source and an uneven L array, the L-array azimuthal angle and pitch angle paired signal processing method is still applicable.

Description

technical field [0001] The invention relates to a signal processing method for pairing an L-array azimuth angle and a pitch angle, and belongs to the field of radio signal processing. Background technique [0002] The L array is a simple two-dimensional array composed of two vertically intersecting linear arrays, which can obtain the azimuth and elevation angles of the target at the same time. It has many advantages in the estimation of the two-dimensional angle of arrival, and has attracted extensive attention from scholars in recent years. In engineering, the two-dimensional angle of arrival estimation of the L array is usually decomposed into one-dimensional angle of arrival estimation of two linear arrays, and then the two estimated one-dimensional angles of arrival are paired to obtain the unambiguous target azimuth and Pitch angle, which can effectively reduce the amount of computation and so on. [0003] L-array pairing methods can be roughly divided into three categ...

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Problems solved by technology

[0003] L-array pairing methods can be roughly divided into three categories at present: 1. For an array composed of acoustic vector sensors, the space vector characteristics of the sensors can be directly used to achieve automatic pairing, but this method is limited by the sensor type and its scope of application is limited.

Second, the two one-dimensional angle of arrival estimation and pairing process are fused together. This kind of method usually needs to construct a special generalized covariance matrix, which contains the corresponding relationship between the flow patterns of the two linear arrays. , using this correspondence to achieve pairing, but in general, such methods have a large amount of eigendecomposition due to the large dimension of the covariance matrix, and are often only suitable for uniform L arrays and incoherent sources.

3. First estimate two sets of one-dimensional angle of arrival, and then perform pairing independently. For example, estimate the cosine difference between the wave and the one-dimensional angle of arrival of the two linear arrays by the Toeplitz method, and use the difference as the medium to realize the pairing. The method is also effective in the case of coherent sources, but the two linear arrays must be uniform linear arrays, and the robustness of the algorithm is not high due to the poor precision of the Toeplitz method; firstly, a "Source covariance matrix", and then judge whether the pairing is correct based on whether the matrix is ​​a Hermite matrix, but the robustness of the algorithm is slightly poor in the case of equal-intensity independent sources

[0004] In summary, the current two-dimensional angle of arrival pairing method for L arrays has disadvantages such as low robustness and limited scope of application.

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