一种盲信号恢复的特征向量算法  

Algorithm for blind signal recovery based on EVA

作　　者：章新华[1] 张安清[1] 康春玉[1] 许林周[1] 

机构地区：[1]大连舰艇学院信号与信息技术研究中心,辽宁大连116018

出　　处：《系统工程与电子技术》2003年第12期1492-1494,共3页Systems Engineering and Electronics

基　　金：国家自然科学基金(60072049)

摘　　要：信号恢复是雷达声纳目标检测和通信信号处理的一项重要任务。基于特征向量估计(EVA)的信号恢复算法可以在未知信道和源信号先验知识的情况下,在较短的时间内实现信号的盲恢复。它是将均衡信道参数估计问题变为与交叉累积量矩阵、自相关矩阵有关的特征向量求解问题,并保证解的唯一性和收敛性。将该算法应用于单源-单接收元(SISO)的恒模变相信号、两种声学水池信号妁恢复,取得了较好的恢复效果。Signal recovery is a very important task for detection of radar sonar target and communication signal processing. A signal recovery algorithm based on EVA is proposed. The given algorithm can realize blind recovery of signal within shorter time in condition of unknown prior knowledge of channel source signal and change the problem of channel parameter estimation into eigenvector solution with relative to crossover cumulant matrix and autocorrelation matrix. The solution of the problem is uniqne and convergent. Better recovery results are obtained by applying the algorithm to constant modulus variable phase signals and two kinds of underwater acoustic signal in SISO system.

关 键 词：声纳目标 盲源分离 盲均衡 信号处理 特征向量 盲信号恢复 

分 类 号：U666.73[交通运输工程—船舶及航道工程]