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A Direction of Arrival Estimation Method for Correlated/Coherent Signals Based on Covariance Low-Dimensional Iterative Sparse Reconstruction

A technology of direction of arrival estimation and sparse reconstruction, which is applied to radio wave direction/bias determination systems, direction finders using electromagnetic waves, direction finders using radio waves, etc., and can solve the calculation of covariance reduction sparse reconstruction algorithm Complexity, high complexity, high estimation accuracy, etc., to achieve good estimation accuracy and reduce computational complexity

Active Publication Date: 2020-08-11
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of the loss of degrees of freedom caused by the use of space smoothing in the subspace method and the problem that the existing covariance sparse reconstruction algorithm has too high complexity when estimating the direction of arrival of related and coherent signals, and proposes a method based on Covariance low-dimensional iterative sparse reconstruction correlation / coherent signal direction of arrival estimation method, this method can be applied to uniform arrays and non-uniform arrays, can avoid the loss of degrees of freedom caused by spatial smoothing, and significantly reduce the existing covariance sparse reconstruction Computational complexity of the algorithm, with high estimation accuracy

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  • A Direction of Arrival Estimation Method for Correlated/Coherent Signals Based on Covariance Low-Dimensional Iterative Sparse Reconstruction
  • A Direction of Arrival Estimation Method for Correlated/Coherent Signals Based on Covariance Low-Dimensional Iterative Sparse Reconstruction
  • A Direction of Arrival Estimation Method for Correlated/Coherent Signals Based on Covariance Low-Dimensional Iterative Sparse Reconstruction

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Embodiment Construction

[0031] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0032] This embodiment provides a method for estimating direction of arrival of correlated / coherent signals based on low-dimensional iterative sparse reconstruction of covariance, and its process is as follows figure 1 As shown, it specifically includes the following steps:

[0033] Step 1. Use a non-uniform array composed of N array elements to receive K far-field narrowband signals, and get:

[0034] x(t)=As(t)+v(t),t=1,2,...,T

[0035] Among them, x(t)=[x 1 (t),...,x N (t)] T is the received signal of the array, and v(t) is the zero-mean Gaussian white noise on the array;

[0036]

[0037]

[0038]

[0039] Among them, θ={θ 1 ,θ 2 ,...,θ K} is the direction set of K signals, A is the direction matrix, s(t) is the signal vector, s i (t), i=1,2,...,K represents the i-th spatial narrowband signal, a(θ i ), i=1,2,..., K repre...

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Abstract

The invention belongs to the field of array signal processing, and provides a correlation / coherent signal direction-of-arrival estimation method based on covariance low-dimensional iterative sparse reconstruction. (2) Expand the sparse reconstruction dictionary according to the position of the non-zero main diagonal elements, and use the sparse reconstruction algorithm to estimate the off-diagonal elements of the signal covariance matrix ; (3) Update the sparse reconstruction model according to the off-diagonal elements, and use the sparse reconstruction algorithm to re-estimate the main diagonal elements of the signal covariance matrix; repeat the above (2) and (3), and then according to the final signal covariance The main diagonal elements of the matrix estimate the direction of arrival of the signal. The invention can not only make full use of the degree of freedom brought by the geometric distribution of the special array, but also effectively reduce the computational complexity and obtain good estimation accuracy.

Description

technical field [0001] The invention belongs to the field of array signal processing, and specifically provides a correlation / coherent signal direction-of-arrival estimation method based on covariance low-dimensional iterative sparse reconstruction. Background technique [0002] Direction of arrival estimation is an important research direction of array signal processing, which is mainly used in many economic and military fields such as radar, sonar, communication, seismic exploration, medical diagnosis and radio astronomy. For space signals that are independent of each other, the sensor array can be used to receive observation data and use subspace algorithm or sparse reconstruction algorithm to estimate its direction of arrival. However, in the actual environment, due to multipath propagation and other reasons, there will be correlation or coherent signals. Although the DOA estimation based on the subspace algorithm can use spatial smoothing technology to achieve decorrela...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S3/14G01S3/782G01S3/802
Inventor 段惠萍殷允杰张新月梁瀚明方俊
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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