电子科技大学学报2017，Vol.46Issue(3)：505-510,6.DOI:10.3969/j.issn.1001-0548.2017.03.005
基于MNC-FastICA算法的稳健自适应波束形成
Robust Adaptive Beamforming Based on MNC-FastICA Algorithm
摘要
Abstract
The actual steering vector with errors is usually modeled as an uncertainty set in most robust adaptive beamforming (RAB) against the steering vector mismatch.However,it is commonly difficult to determine the constraint parameter in practice.In this paper,a RAB based on modified noncircular complex fast independent component analysis(MNC-FastICA) algorithm is proposed.The weight vector of beamformer can be constructed with the separation matrix found by MNC-FastICA algorithm and the amplitude and phase ambiguities of estimations resulted from separation are also calibrated.Thus,the signal directions of arrival (DOA) do not need to be predestinated,which voids the mismatch of signal steering vector due to the error of DOA in classical RAB methods.Moreover,the proposed method is not sensitive to the amplitude and phase errors of array channel so that array calibration is not necessary.Simulations are run and the performances are compared with classical methods such as worst-case performance optimization(WCPO).Results demonstrate the effectiveness and robustness of our method.关键词
阵列/复数快速不动点算法/独立分量分析/稳健自适应波束形成Key words
array/complex fast fixed-point algorithm/independent component analysis/robust adaptive beamforming分类
信息技术与安全科学引用本文复制引用
阮宗利,魏平,钱国兵,袁晓垒..基于MNC-FastICA算法的稳健自适应波束形成[J].电子科技大学学报,2017,46(3):505-510,6.基金项目
中央高校基本科研业务费专项资金(15CX02055A) （15CX02055A）
