A Multimodal DOA Estimation Method of Coherently Distributed Sources in Impulse Noise

被引：0
|
作者：
Gao H.-Y. [1 ]
Liu Y.-P. [1 ]
Du Y.-N. [1 ]
Cheng J.-H. [2 ]
Sun H.-L. [1 ]
机构：
[1] College of Information and Communication Engineering, Harbin Engineering University, Heilongjiang, Harbin
[2] College of Intelligent Systems Science and Engineering, Harbin Engineering University, Heilongjiang, Harbin
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2023年 / 51卷 / 09期
基金：
中国国家自然科学基金;
关键词：
coherently distributed source; Cramér-Rao bound; DOA estimation; impulse noise; multimodal quantum bald eagle algorithm; multimodal weighted signal subspace fit⁃ ting;
D O I：
10.12263/DZXB.20211655
中图分类号：
学科分类号：
摘要：
To address the problems of the existing direction of arrival (DOA) estimation methods of coherently dis⁃ tributed sources, such as huge computational complexity, inferior performance in impulse noise and ineffective decoherence ability, a multimodal DOA estimation method of coherently distributed sources in impulse noise is proposed and the Cramér-Rao bound is derived for DOA estimation of coherently distributed sources in the impulse noise. A multimodal weighted signal subspace fitting equation, employing the weighted norm covariance, is derived firstly to achieve the DOA estimation of coherently distributed sources in the impulse noise, meanwhile, a multimodal quantum bald eagle algorithm is designed to quickly solve the derived equation without quantization error. Simulation results show that the proposed meth⁃ od can achieve the DOA estimation of coherently distributed sources with a small number of snapshots in the impulse noise, and can locate coherent sources without additional decoherence operations. Compared with the existing high precision DOA estimation methods, the proposed method has shorter simulation time and higher estimation accuracy and successful rate, which breaks through the application limitations of the existing coherently distributed source DOA estimation methods and can be popularized and applied in other complex DOA estimation problems. © 2023 Chinese Institute of Electronics. All rights reserved.
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收藏
页码：2330 / 2340
页数：10
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