Robust interference-plus-noise covariance matrix reconstruction method

A technology of interference covariance and covariance matrix, which is applied in the field of robustness of Capon adaptive beamforming, can solve problems such as reduced algorithm performance, complex integral calculation, and reduced calculation amount

Inactive Publication Date: 2015-04-08
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

However, in the interval Θ 2 Integral calculation is very complicated, in order to effectively reduce the amount of calculation, the interval Θ 2 Perform interval discretization into an angle set containing L elements The requirement for interval discretization is to include the direction of arrival of each interference signal, that is, Use discrete intervals Sums instead of intervals Θ 2 Integral to obtain the reconstruction of the interference noise covariance matrix
[0005] However, the INCMR algorithm has its...

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Embodiment 1

[0062] The present invention aims at the interference noise covariance matrix robust reconstruction algorithm output signal interference noise ratio SINR change simulation with expected signal input signal noise ratio SNR for interference signal steering vector error:

[0063] Example 1, a uniform linear array composed of 10 array elements receives narrow-band signals emitted by 3 far-field sources, and the preset direction of arrival of the desired signal is θ 1 =-10 0 , and its steering vector estimation error is is a zero-mean, variance ξ 1 I M The complex symmetric Gaussian random variable of , the corresponding upper limit of the error norm constraint is ε 1 , that is, the steering vector estimation error needs to satisfy The preset directions of arrival of the two interference signals are θ 2 =20 0 ,θ 3 =-30 0 , then its steering vector estimation error is is a zero mean, variance ξ d I M The complex symmetric Gaussian random variable of , the corresponding...

Embodiment 2

[0071] The invention aims at the interference noise covariance matrix robust reconstruction algorithm of the interference signal steering vector error and the simulation of the change of the SINR with the number of snapshots received by the array:

[0072] Example 2, a uniform linear array composed of 10 array elements receives narrow-band signals emitted by 3 far-field sources, and the preset direction of arrival of the desired signal is θ 1 =-10 0 , and its steering vector estimation error is is a zero-mean, variance ξ 1 I M The complex symmetric Gaussian random variable of , the corresponding upper limit of the error norm constraint is ε 1 , that is, the steering vector estimation error needs to satisfy The preset directions of arrival of the two interference signals are θ 2 =20 0 ,θ 3 =-30 0 , then its steering vector estimation error is is a zero-mean, variance ξ d I M The complex symmetric Gaussian random variable of , the corresponding upper limit of the e...

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Abstract

The invention belongs to the field of array signal processing and mainly relates to robustness of an interference-plus-noise covariance matrix reconstruction algorithm as well as robustness of optimal Capon adaptive beamforming based on the worst-case performance of the interference-plus-noise covariance matrix reconstruction algorithm. The algorithm comprises, firstly, establishing error models of steering vectors of desired signals and interference signals through worst-case performance optimization standard; secondly, estimating the power and the steering vector of a (D-1)th interference signal through Robust Capon beamforming, and meanwhile, performing EVD (evolution-data optimization) on a sample covariance matrix to estimate array receiving Gaussian white noise power and accordingly to a reconstructed interference-plus-noise covariance matrix which takes interference signal steering vector errors into consideration. The interference-plus-noise covariance matrix reconstruction algorithm can effectively solve the inherent shortcomings of summation type interference-plus-noise covariance matrix reconstruction and improve the robustness of beamforming algorithms.

Description

technical field [0001] The invention belongs to the field of array signal processing, and mainly relates to the robustness of an interference noise covariance matrix reconstruction algorithm and the robustness of the optimal Capon adaptive beamforming based on the worst performance of the algorithm. Background technique [0002] The Capon adaptive beamforming algorithm can minimize the output power of the array and maximize the output Signal-to-Interference-plus-Noise Ratio (SINR), maximum Maximize the array gain, have better azimuth resolution and strong interference suppression ability. However, Capon beamforming is based on the assumption that both the desired signal steering vector and the interference noise covariance matrix are known accurately, and it is sensitive to the errors of the desired signal steering vector and the interference noise covariance matrix, and in practical applications , the interference noise covariance matrix is ​​generally difficult to obtain,...

Claims

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Application Information

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IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 袁晓垒甘露杜继萍廖红舒张花国
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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