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一种新的直达波干扰变步长NLMS对消算法
引用本文:宋杰,龙腾,何友. 一种新的直达波干扰变步长NLMS对消算法[J]. 北京理工大学学报, 2015, 35(1): 105-110. DOI: 10.15918/j.tbit1001-0645.2015.01.020
作者姓名:宋杰  龙腾  何友
作者单位:北京理工大学信息与电子学院,北京 100081;海军航空工程学院信息融合研究所,山东,烟台264001;北京理工大学信息与电子学院,北京,100081;海军航空工程学院信息融合研究所,山东,烟台264001
基金项目:国家自然科学基金资助项目(61471381);中国博士后科学基金资助项目(2012M520174,2013T60069)
摘    要:
研究了脉冲无源双基地雷达的直达波干扰抑制技术. 在直达波脉冲和目标回波时域交叠的条件下,在分析传统LMS算法、归一化LMS算法、变步长LMS算法的基础上,提出一种新的变步长归一化LMS(新VSSNLMS)算法来实现直达波干扰自适应对消,通过仿真验证了该算法收敛性能的优越性. 并将该算法应用于脉冲无源双基雷达直达波干扰自适应对消中,理论分析和仿真结果表明,新VSSNLMS算法比现有的LMS、NLMS和MSVSLMS算法具有更快的收敛速度和更少的对消剩余误差. 

关 键 词:自适应对消  LMS  无源  双基地  雷达
收稿时间:2012-11-28

An Adaptive Cancellation of Direct Wave Interference Using a New Variable-Step-Size NLMS Algorithm
SONG Jie,LONG Teng and HE You. An Adaptive Cancellation of Direct Wave Interference Using a New Variable-Step-Size NLMS Algorithm[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2015, 35(1): 105-110. DOI: 10.15918/j.tbit1001-0645.2015.01.020
Authors:SONG Jie  LONG Teng  HE You
Affiliation:1.School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Shangdong, Yantai 264001, China2.School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China3.Research Institute of Information Fusion, Naval Aeronautical and Astronautical University, Shangdong, Yantai 264001, China
Abstract:
The adaptive cancellation techniques of direct wave interference in passive bistatic pulse radar were developed in this paper. When the scatter signal was mixed with the direct wave, and can not be separated by the time window technique, a new variable-step-size normalized LMS (new VSSNLMS) algorithm was proposed to implement the adaptive cancellation of direct wave interference, on the basis of the analyses of the conventional LMS algorithm, normalized LMS algorithm, and variable-step-size LMS algorithm. The superiority of the algorithm was proved by the computer simulation. The proposed algorithm was applied to adaptive cancellation of direct wave interference in passive bistatic pulse radar. The theoretical analysis and simulation results show that a faster convergence rate as well as a smaller output error are obtained by the new VSSNLMS algorithm than the conventional LMS, NLMS, and MSVSLMS algorithm.
Keywords:adaptive cancellation  LMS  passive  bistatic  radar
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