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Direction finding of bistatic MIMO radar in strong impulse noise

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For bistatic multiple-input multiple-output(MIMO)radar,this paper presents a robust and direction finding method in strong impulse noise environment.By means of a new lower order covariance,the method is effective in suppressing impulse noise and achieving superior direction finding performance using the maximum likelihood(ML)estimation method.A quantum equilibrium optimizer algorithm(QEOA)is devised to resolve the corresponding objective function for efficient and accurate direc-tion finding.The results of simulation reveal the capability of the presented method in success rate and root mean square error over existing direction-finding methods in different application situations,e.g.,locating coherent signal sources with very few snapshots in strong impulse noise.Other than that,the Cramér-Rao bound(CRB)under impulse noise environment has been drawn to test the capability of the presented method.

bistatic multiple-input multiple-output(MIMO)radarimpulse noisedirection findinglower order covariancequan-tum equilibrium optimizer algorithm(QEOA)maximum likeli-hood estimation methodCramér-Rao bound(CRB)

CHEN Menghan、GAO Hongyuan、DU Yanan、CHENG Jianhua、ZHANG Yuze

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College of Information and Communication Engineering,Harbin Engineering University,Harbin 150001,China

College of Intelligent Systems Science and Engineering Harbin Engineering University,Harbin 150001,China

National Natural Science Foundation of ChinaPostdoctoral Scientific Research Developmental Fund of Heilongjiang ProvinceHeilongjiang Provincial Natural Science Foundation of ChinaKey Laboratory of Advanced Marine Communication and Information Technology,Ministry of Industry and Information Technology

62073093LBH-Q19098LH2020F017

2024

10.23919/JSEE.2024.000002

系统工程与电子技术(英文版)
中国航天科工防御技术研究院 中国宇航学会 中国系统工程学会 中国系统仿真学会

系统工程与电子技术(英文版)

CSTPCD
影响因子：0.64
ISSN：1004-4132
年,卷(期)：2024.35(4)