A robust adaptive beamformer with non-smoothing coherent interference

被引：0

作者：

Lu W. ^{[1
]}

Li D. ^{[1
]}

Bi Q. ^{[1
]}

Zhang J. ^{[1
]}

机构：

[1] School of Information Science and Engineering, Fudan University, Shanghai

来源：

Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2024年 / 46卷 / 05期

关键词：

beamforming; Capon spectrum; coherent interference; covariance matrix fitting; robust adaptive;

D O I：

10.12305/j.issn.1001-506X.2024.05.01

中图分类号：

学科分类号：

摘要：

The robust adaptive beamforming (RAB) algorithms reported in the literature are analyzed, to explain the serious performance degradation or even completely invalid in the presence of coherent interference. When the covariance matrix of the received data is decomposed into the description form of the array manifold matrix left and conjugate right multiplied by a matrix P. P is a non-diagonal matrix when the received data are interfered by the coherent signal sources, and the off-diagonal elements in the matrix P represent the coherences between the signal and interference sources as well as among interference ones, which are the main reasons for the failure of RAB algorithm reported in the literature. It is shown further that the insufficient number of snapshots can be regarded as a special case of coherent interference. In order to deal with these situations, a covariance matrix fitting method is proposed by constructing P as a diagonal matrix. Based on the fitted covariance matrix, an RAB method for non-smooth coherent interference is presented. The simulation results verify the effectiveness of the analytical ones. Meanwhile, they also show that the proposed method can still achieve the performances of the non-coherent interference RAB algorithms in the case of coherent interference, and has a faster convergence rate than the methods reported in the literature. © 2024 Chinese Institute of Electronics. All rights reserved.

引用

页码：1467 / 1476

页数：9

共 33 条

[1]

LI J, STOICA P., Robust adaptive beamforming, (2005)

[2]

WANG Y L, DING Q J, LI R F., Adaptive array processing, (2009)

[3]

WANG J K, SONG T., Robust adaptive array signal processmg, (2009)

[4]

YUAN X L., Research on robust adaptive beamforming algo-rithm, (2017)

[5]

BI Q Y, LI D, ZHANG J Q., The outer product synthesis method of space-time adaptive processing tensor beamformer, Journal of Aeronautics, 40, 10, pp. 158-170, (2019)

[6]

CAPON J., High-resolution frequency-wavenumber spectrum analysis, Proceedings of the IEEE, 57, 8, pp. 1408-1418, (1969)

[7]

KUNG S, LO C, FOKA R., A Toeplltz approximation approach to coherent source direction finding, Proc. of the IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 193-196, (1986)

[8]

MAHESWARA K, REDDY V U., Analysis of spatial smoothing with uniform circular arrays, IEEE Trans, on Signal Processing, 47, 6, pp. 1726-1730, (1999)

[9]

WU X D, MA L, LIANG Z H., Improved weighted spatial smoothing algorithm, Journal of Data Acquisition and Processing, 30, pp. 824-829, (2015)

[10]

GUO Y, ZHANG L, ZHANG J, Et al., A coherent signal beam-forming technique based on sub-array cross correlation, Digital Signal Processing, 121, pp. 1051-2004, (2022)

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