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Improved robust beam forming method of joint covariance matrix and ADMM algorithm

A technology of covariance matrix and beam, which is applied in the field of robust beamforming of joint covariance matrix and ADMM algorithm, can solve the problem that the selection of optimal loading factor is difficult to determine, so as to improve anti-jamming motion capability, improve performance, and improve output SINR Effect

Pending Publication Date: 2022-07-29
WUHAN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

The DL algorithm is to add a loading factor on the diagonal of the covariance matrix to suppress the noise in the weight vector, but the selection of the optimal loading factor is difficult to determine

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  • Improved robust beam forming method of joint covariance matrix and ADMM algorithm
  • Improved robust beam forming method of joint covariance matrix and ADMM algorithm
  • Improved robust beam forming method of joint covariance matrix and ADMM algorithm

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Embodiment Construction

[0116] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0117] 1. Construction of signal model;

[0118] Without loss of generality, the embodiment of the present invention considers that the receiving end is a uniform linear array (ULA) composed of N array elements, and the array element spacing is d, so the output of the narrowband beamformer at time k is

[0119] y(k)=w H x(k) (1)

[0120] where w is an N×1 weighted vector, ( ) H represents the conjugate transpose, and x(k) is the array received data vector.

[0121] x(k)=s(k)+i(k)+n(k) (2)

[0122] Among them, s(k), i(k) and n(k) correspond to the desired signal, interference signal an...

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Abstract

The invention belongs to the technical field of array signal processing, and particularly relates to an improved robust beam forming method combining a covariance matrix and an ADMM algorithm, and the method comprises the steps: constructing an improved robust beam forming steering vector optimization model, and carrying out the improvement of the steering vector optimization model on the basis of the reconstruction of the covariance matrix; firstly, SDP relaxation is utilized, secondly, an ADMM algorithm is utilized to solve the model, a closed optimal solution is obtained in each iteration process, an optimal weighted vector is calculated, multi-beam weighted summation is carried out on the optimal weighted vector and an array receiving data vector, and an output robust beam is formed. According to the method, the robustness requirement is better met, the anti-interference motion capability and the anti-steering vector mismatching capability of a traditional beam former are effectively improved, meanwhile, the condition of outputting SINR under the condition of low input SNR is effectively improved, and the self-elimination phenomenon is effectively prevented.

Description

technical field [0001] The invention relates to the technical field of array signal processing, in particular to an improved joint covariance matrix and a robust beamforming method of an ADMM algorithm. Background technique [0002] In array signal processing, robust adaptive beamforming has been recognized as a fundamental problem and has attracted extensive research and attention. This is because traditional adaptive beamforming techniques are less immune to small or modest differences between assumed and actual signal steering vectors, as well as antenna calibration errors and other mismatches. [0003] Adaptive beamforming has been widely used in sonar, radar, biological science, speech signal processing and medical engineering, and is one of the research hotspots in the field of array signal processing. The adaptive beamforming algorithm is very sensitive to the error of steering vector mismatch, and even small steering vector errors, such as direction error, array dis...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06F17/11
CPCG06F17/11G06F2218/00G06F2218/04Y02D30/70
Inventor 巩朋成刘建宇吴云韬王兆彬黎杨李婕余亮时愈
Owner WUHAN INSTITUTE OF TECHNOLOGY
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