Improved coherent signal DOA estimation method based on subarray selection strategy

A technology of coherent signals and DOA, applied in direction finders using radio waves, radio wave direction/deviation determination systems, etc., can solve problems such as mutual coupling that cannot be solved

Pending Publication Date: 2022-04-12
XIDIAN UNIV
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Problems solved by technology

However, based on the subspace estimation algorithm and the non-iterative subspace direction finding algorithm, most of them believe that the array manifold is determined, and cannot solve the mutual coupling (MC) problem that affects DOA estimation.

Method used

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  • Improved coherent signal DOA estimation method based on subarray selection strategy
  • Improved coherent signal DOA estimation method based on subarray selection strategy
  • Improved coherent signal DOA estimation method based on subarray selection strategy

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Embodiment 1

[0046] See figure 1 , figure 1It is a schematic flowchart of an improved coherent signal DOA estimation method based on a subarray selection strategy provided by an embodiment of the present invention. The present invention provides a kind of improved intermediate subarray DOA estimation method, and this analysis method comprises the following steps:

[0047] S1. Calculate the signal covariance matrix according to the received signal x(t)

[0048] Specifically, firstly, the signal model is established, and the received signal model is set as L coherent far-field narrowband signals with an angle θ 1 , θ 2 ,...,θ L Acting on the equidistant linear array composed of M array elements, the expression of the received signal x(t) can be expressed as:

[0049]

[0050] in, Represents M×L dimensional steering vector matrix, θ=[θ 1 , θ 2 ,...θ l ..., θ L ] are the directions of arrival of the L signals, θ l Indicates the direction of arrival of the l-th signal, s(t)=[s ...

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Abstract

The invention relates to an improved coherent signal DOA (Direction of Arrival) estimation method based on a subarray selection strategy. The method comprises the following steps: calculating a signal covariance matrix according to a received signal; setting a current iteration number to initialize a noise covariance matrix and an error; performing characteristic decomposition on a difference value of the signal covariance matrix and the noise covariance matrix to obtain a main characteristic value and a characteristic vector corresponding to the main characteristic value; obtaining a final noise covariance matrix according to the signal covariance matrix, the main eigenvalue and the eigenvector; obtaining a noiseless covariance matrix according to the difference value of the signal covariance matrix and the noise covariance matrix; obtaining a smooth covariance matrix according to the sub-matrix and the selection matrix; and completing DOA estimation according to the eigenvalue decomposition result of the smooth covariance matrix. According to the method, the DOA estimation problem under the condition of unknown non-uniform noise and mutual coupling coexistence can be solved.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and relates to an improved coherent signal DOA estimation method based on a subarray selection strategy. Background technique [0002] Direction-of-arrival (DOA) estimation of signals is a fundamental topic in array signal processing such as radar, seismic sensing, wireless communication, and autonomous driving. Under the assumption of Gaussian white noise, subspace-based DOA estimation algorithms such as MUSIC and ESPRIT can show good detection performance. However, in practical systems, the Gaussian white noise condition cannot be satisfied due to the non-ideality of the receiving channel of the antenna array and the inhomogeneity of the sensor response. Therefore, the non-ideal array flow matrix will greatly reduce the performance of the DOA estimation algorithm. [0003] In order to solve the problem of DOA estimation performance degradation in the case of non-uniform noise ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S3/14
Inventor 朱圣棋曾国强房云飞许京伟李西敏兰岚刘永军贺雄鹏
Owner XIDIAN UNIV
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