Technology of Network & Communication
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3422-3426

Novel robust adaptive beamforming with low complexity cost

Yao Hao
Wu Yue
College of Computer Science, Sichuan University, Chengdu 610041, China

Abstract

The traditional robust adaptive beamforming(RAB) algorithm based on interference-plus-noise covariance matrix(INCM) reconstruction has strong robustness in many mismatched environment with sample data covariance matrix errors and signal steering vector errors. However, the current main methods of INCM reconstruction estimate the steering vector of signal and interference by establishing convex optimization model, which leads to high computation complexity. To solve this problem, this paper proposed an RAB algorithm based on INCM reconstruction with low computation complexity. Firstly, it divided the steering vector of interference signal into two parts, namely the nominal vector and the mismatch vector, estimated the unit vector of the mismatch vector based on a subspace method, and solved a Capon spectrum power maximization problem to reconstruct the INCM. Meanwhile, using the existence of residual noise in the Capon spatial spectrum, this paper estimated the steering vector of desired signal by the alternating projection algorithm, and finally the proposed method obtained the weight vector. Simulations demonstrate the robustness of the proposed RAB algorithm at a cost of low computational complexity in cases of various mismatches.

Foundation Support

成都市科技局重点研发支撑计划资助项目(2019-YF05-00998-SN)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0154
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Technology of Network & Communication
Pages: 3422-3426
Serial Number: 1001-3695(2022)11-035-3422-05

Publish History

[2022-06-21] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

姚昊, 武岳. 一种低复杂度的鲁棒自适应波束形成算法 [J]. 计算机应用研究, 2022, 39 (11): 3422-3426. (Yao Hao, Wu Yue. Novel robust adaptive beamforming with low complexity cost [J]. Application Research of Computers, 2022, 39 (11): 3422-3426. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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