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基于最差情况性能优化的稳健盲波束形成算法
引用本文:宋昕,汪晋宽,王彬.基于最差情况性能优化的稳健盲波束形成算法[J].东北大学学报(自然科学版),2011,32(3):364-367.
作者姓名:宋昕  汪晋宽  王彬
作者单位:东北大学秦皇岛分校电子信息系;东北大学信息科学与工程学院;
基金项目:国家自然科学基金资助项目(61004052); 中央高校基本科研业务费专项资金资助项目(N090323002)
摘    要:针对在实际通信应用中存在导向向量偏差的情况下,阵列输出的信干噪比SINR性能急剧下降的问题,提出了稳健受限LSCMA算法,并对其输出性能进行了理论分析.该算法利用后验概率密度函数估计信号导向向量,并增加权向量的二次型约束,降低了信号波达方向的不确定性,提高了对信号导向向量偏差的稳健性,使阵列输出的信干噪比SINR接近最...

关 键 词:盲自适应波束形成  信干噪比  最差情况性能优化  后验概率密度函数  导向向量偏差

A Robust Blind Beamforming Algorithm Based on Worst-Case Performance Optimization
SONG Xin,WANG Jin-kuan,WANG Bin.A Robust Blind Beamforming Algorithm Based on Worst-Case Performance Optimization[J].Journal of Northeastern University(Natural Science),2011,32(3):364-367.
Authors:SONG Xin  WANG Jin-kuan  WANG Bin
Institution:SONG Xin1,WANG Jin-kuan1,2,WANG Bin2(1.Department of Electronics Information,Northeastern University at Qinhuangdao,Qinhuangdao 066004,China,2.School of Information Science & Engineering,Northeastern University,Shenyang 110819,China.)
Abstract:A linear constrained least squares constant modulus algorithm(LSCMA) is a convergent and steady blind beamforming algorithm used in array signal processing.When adaptive arrays are applied in practical situations,the performance of a linear constrained LSCMA is known to undergo substantial degradation in the presence of even slight mismatches between the actual and presumed array responses to the desired signal.To account for mismatches,a novel robust constrained LSCMA algorithm based on worst-base performa...
Keywords:blind adaptive beamforming  signal-to-interference-plus-noise ratio(SINR)  worst-case performance optimization  posterior probability density function  steering vector mismatches  
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