Robust Adaptive Beamforming via Simplified Interference Power Estimation

被引：79

作者：

Zheng, Zhi ^{[1
]}

Yang, Tong ^{[1
]}

Wang, Wen-Qin ^{[1
]}

So, Hing Cheung ^{[2
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Peoples R China

[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2019年 / 55卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Interference; Signal to noise ratio; Estimation; Array signal processing; Covariance matrices; Uncertainty; Adaptive systems; Interference-plus-noise covariance matrix (INCM); INCM reconstruction; interference power estimation; robust adaptive beamforming (RAB); COVARIANCE-MATRIX RECONSTRUCTION; STEERING VECTOR ESTIMATION; OPTIMIZATION;

D O I：

10.1109/TAES.2019.2899796

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

Adaptive beamformer is very sensitive to model mismatch, especially when the signal-of-interest is present in the training data. In this paper, we focus on the topic of robust adaptive beamforming (RAB) based on interference-plus-noise covariance matrix (INCM) reconstruction. First, we analyze the effectiveness of several INCM reconstruction schemes, and particularly analyze the impacts of interference power estimation on RAB. Second, according to the analysis results, we develop a simplified algorithm to estimate the interference powers, and a RAB algorithm based on INCM reconstruction is then presented. Compared with some existing methods, the proposed algorithm simplifies the interference power estimation of INCM reconstruction. Aligned with our analysis, simulation results demonstrate that the overestimation of interference powers hardly degrades the performance of adaptive beamforming, and our proposed algorithm achieves nearly optimal performance across a wide range of signal-to-noise ratios.

引用

页码：3139 / 3152

页数：14

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