基于PSP及Kalman滤波的PCMA信号盲分离算法  

PCMA signal blind separation based on per-survivor processing and Kalman filter

作　　者：毕琰[1] 钱良[1] 

机构地区：[1]上海交通大学电子工程系,上海200240

出　　处：《信息技术》2013年第7期20-23,共4页Information Technology

基　　金：国家自然科学基金项目(61102051)

摘　　要：提出了一种成对载波多址系统中信息序列和信道联合估计的算法。该算法在不具备任一协作通信方发送的信息序列的先验知识前提下从混合信号中解调出两路信息序列。该算法结合了逐幸存路径处理法无延迟的信道参数估计特性和Kalman滤波良好的估计性能。仿真实验表明,该算法具有良好的信道捕获与跟踪能力,且实现较好的符号序列估计性能。This paper proposes the joint estimation of data sequence and channel impulse response in PCMA systems. It decodes two data sequences from the mixed signals without knowledge of data sequence in any terminal. It combines the zero delay estimation property of per-survivor processing and excellent tracking performance of Kalman filter. The simulation results show that the method has better estimation of the channel than the traditional LMS method and achieves good performance in data estimation.

关 键 词：成对载波多址 逐幸存路径处理 Kalrnan滤波 

分 类 号：TN914[电子电信—通信与信息系统]