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用于波束形成的最小二乘广义模值算法研究
引用本文:刘波,金荣洪,范瑜,耿军平.用于波束形成的最小二乘广义模值算法研究[J].电波科学学报,2005,20(3):373-377.
作者姓名:刘波  金荣洪  范瑜  耿军平
作者单位:上海交通大学电子工程系,上海,200030;上海交通大学电子工程系,上海,200030;上海交通大学电子工程系,上海,200030;上海交通大学电子工程系,上海,200030
摘    要:对用于波束形成的最小二乘广义模值算法(LSGMA)在多种信号环境下的收敛性能进行了分析;在此基础上提出一种新的多用户盲波束形成算法--迭代最小二乘广义模投影(ILSP-GMA)算法,克服LSGMA算法当恒模干扰信号强于所需信号时会错误收敛的缺陷.仿真结果表明该算法可有效适用于多用户情况,并可获得较原迭代最小二乘投影算法(ILSP)更快的收敛速度.

关 键 词:最小二乘广义模值算法  波束成形  迭代最小二乘广义模投影算法  收敛性分析
文章编号:1005-0388(2005)03-0373-05
修稿时间:2004年3月19日

A new least squares general modulus algorithm in beamforming applications
LIU Bo,JIN Rong-hong,FAN Yu,GENG Jun-ping.A new least squares general modulus algorithm in beamforming applications[J].Chinese Journal of Radio Science,2005,20(3):373-377.
Authors:LIU Bo  JIN Rong-hong  FAN Yu  GENG Jun-ping
Abstract:The convergence behavior of the least squares general modulus algorithm (LSGMA) is analyzed under several signal environments. Based on the analysis, a novel multi-user beamforming algorithm regarded as iteration least squares projection-general modulus algorithm (ILSP-GMA) is proposed, which can overcome the shortcoming of miss convergence by LSGMA when a CM interference is stronger than the desired signal. Simulation results show that the proposed algorithm can be effectively used in multi-user scenarios and can provide a much faster convergence than the original iteration least squares projection algorithm (ILSP).
Keywords:LSGMA  beamforming  ILSP-GMA  convergence analysis
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