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Two-dimensional incoherent distributed target parameter estimation method based on L-shaped array

A target parameter, non-coherent technology, applied to direction finders using radio waves, radio wave direction/deviation determination systems, etc., can solve problems such as decreased accuracy

Active Publication Date: 2021-02-05
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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Problems solved by technology

[0005] Aiming at the problem that the accuracy of the search-free non-coherent distributed target source parameter estimation algorithm is severely reduced in a low signal-to-noise ratio environment, the present invention proposes a non-coherent distributed target source angle-of-arrival estimation method based on cross-covariance decomposition

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  • Two-dimensional incoherent distributed target parameter estimation method based on L-shaped array
  • Two-dimensional incoherent distributed target parameter estimation method based on L-shaped array
  • Two-dimensional incoherent distributed target parameter estimation method based on L-shaped array

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[0101] The present invention will be described in more detail below in conjunction with the structural block diagram.

[0102] refer to figure 1 , figure 2 , a two-dimensional incoherent distributed target parameter estimation method based on an L-shaped array, comprising the following steps:

[0103] Step 1. In the received L-shaped array, M antenna elements are arranged along the x-axis, N antenna elements are arranged along the y-axis, and the distance d between adjacent antenna elements is half a wavelength, and the two coordinates The array element whose axes intersect is used as the reference array element, where the values ​​of M and N are any positive integers;

[0104] Step 2, sampling the received signals of the L-shaped array, and calculating the covariance matrix and the cross-covariance matrix by using the received signals captured by T snapshots; wherein, T is a positive integer;

[0105] (201) Assume that the receiving array is an L-shaped array composed of tw...

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Abstract

The invention provides a two-dimensional incoherent distributed target parameter estimation method based on an L-shaped array. The objective of the invention is to solve the problem of precision reduction of a conventional incoherent distributed target source estimation algorithm in a low signal-to-noise ratio environment. Firstly, a received signal model is rewritten into a generalized array manifold (GAM) model, and sample cross covariance matrixes of received data in different axial directions are calculated; and signal subspaces corresponding to the steering vectors in different axial directions are calcualted. The L-shaped array is divided into four sub-arrays, and the central angle of the incoherent distributed target source is estimated; and then pairing of the center angles is completed. And finally the spread angle of the target is estimated. According to the method, the arrays do not need to be divided in the same axial direction when the cross covariance is constructed, andthe loss of the array aperture is avoided while the noise influence is eliminated. In addition, one singular value decomposition is used for replacing two eigenvalue decomposition to obtain signal subspaces in two directions at the same time, so that the incoherent distributed target source estimation algorithm has lower calculation complexity.

Description

technical field [0001] The invention relates to the technical field of array signal processing, in particular to a method for estimating the angle of arrival of a two-dimensional non-coherent distributed target source under an L-shaped array. Background technique [0002] Angle of Arrival estimation is a basic technology in the field of array signal processing. It can be widely used in systems such as radar, sonar and wireless communication. Most parameter estimation algorithms such as: MUSIC algorithm, ESPRIT algorithm, etc. regard the observed target as the far-field point target source. However, in practical applications, the multipath scattering effect of the target is unavoidable. Therefore, using the distributed target source model to describe will be closer to the real situation. [0003] According to the correlation of signals, distributed target sources can be divided into two types: coherent distributed target sources and non-coherent distributed target sources....

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Application Information

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IPC IPC(8): G01S3/14
CPCG01S3/14
Inventor 许磊赵亚茹黄智开
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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