首页 | 本学科首页   官方微博 | 高级检索  
     

改进LCMV算法在抑制干扰噪声中的应用
引用本文:程春悦,吕英华.改进LCMV算法在抑制干扰噪声中的应用[J].电子测量与仪器学报,2006,20(4):29-32.
作者姓名:程春悦  吕英华
作者单位:1. 中国航天科工集团第二研究院203所,北京,100854
2. 北京邮电大学,继续教育学院,北京,100876
摘    要:根据波束空间理论提出了一种自适应波束形成算法。通过对输入数据矩阵进行预处理,使得协方差矩阵中不再包含信号子空间向量。为进一步抑制杂波干扰,新算法还引入对角加载,使得改进后的LCMV算法对于不同信噪比的期望信号与干扰信号都能形成特性良好的方向图,提高了阵列天线的输出SINR。仿真证明了算法的有效性。

关 键 词:自适应波束形成  对角加载  线性约束最小方差
收稿时间:2005-01
修稿时间:2005-01

Application of Improved LCMV Algorithm in Restraining Interference and Noise
Cheng Chunyue,Lǖ Yinghua.Application of Improved LCMV Algorithm in Restraining Interference and Noise[J].Journal of Electronic Measurement and Instrument,2006,20(4):29-32.
Authors:Cheng Chunyue  Lǖ Yinghua
Abstract:An improved LCMV (linearly constrained minimum variance) adaptive beamforming algorithm is presented. Based on beam space principle, the vectors of beam space comprise of signal subspace vectors and interference subspace vectors. By using pretreatment technology for the input data matrix, the covariance matrix of receiving data will not almost include the signal subspace vectors. To constrain the interference of SNOIs (signals of not interesting), the diagonal loading technology for covariance matrix of sample matrix is considered. The improved LCMV algorithm can form well pattern for SOI signals and interference signals with various SNR and improve output SINR of array antennas. Simulations show the validity of the approach.
Keywords:adaptive beamforming  diagonal loading  linearly constrained minimum variance
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号