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基于修正Gram-Schmidt的QR分解的天线选择算法
引用本文:汪晋宽,薜桂芹,刘志刚,宋昕.基于修正Gram-Schmidt的QR分解的天线选择算法[J].重庆邮电学院学报(自然科学版),2006,18(2):148-151.
作者姓名:汪晋宽  薜桂芹  刘志刚  宋昕
作者单位:东北大学信息科学与工程学院,辽宁沈阳110004
基金项目:河北省教育厅科学研究指导计划基金资助项目(Z2004103)
摘    要:针对传统天线选择算法在以误码率作为性能指标进行天线选择时,需要对所有可能的天线子集进行全搜索的缺点,提出了基于修正Gram-Schmidt的QR分解的天线选择算法,并对算法的计算复杂度进行了分析.与以往算法相比。该算法可用于相关信道的场合。并且复杂度明显降低。仿真结果证明了其算法的有效性。

关 键 词:天线连择  符号向量误码率  修正Gram-Sehmidt的QR分解
文章编号:1004-5694(2006)02-0148-04
收稿时间:2005-07-28

Antenna selection based on modified Gram Schmidt QR decomposition
WANG Jin-kuan, XUE Gui-qin, LIU Zhi-gang, SONG Xin.Antenna selection based on modified Gram Schmidt QR decomposition[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2006,18(2):148-151.
Authors:WANG Jin-kuan  XUE Gui-qin  LIU Zhi-gang  SONG Xin
Institution:School of Information science and Engineering, Northeastern University, Shenyang 110004, China
Abstract:A novel antenna selection algorithm based on modified Gram- Schmidt QR decomposition is proposed to avoid the shortcoming of conventional methods which need a mass of search over all possible subsets. The complexity of the algorithm is given. Compared with previous algorithms, it works well even under correlated channel and the computation complexity is reduced dramatically. The simulation verifies the effectiveness of the algorithm.
Keywords:antenna selection  probability of vector symbol error  modified Gram-Schmidt QR decomposition
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