极端数据辅助的RSSE-PSP盲分离算法  

RSSE-PSP Blind Separation Algorithm Based on Extreme Data Assistance

作　　者：李钟书 李天昀[1] 李放 邱钊洋 杨开元 LI Zhongshu;LI Tianyun;LI Fang;QIU Zhaoyang;YANG kaiyuan(Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]信息工程大学,河南郑州450001

出　　处：《信息工程大学学报》2024年第4期384-390,共7页Journal of Information Engineering University

摘　　要：针对逐幸存路径处理(PSP)算法在处理成对载波多址(PCMA)信号盲分离问题时复杂度过高的问题,提出一种基于极端数据辅助的减状态序列估计逐幸存路径处理(RSSE-PSP)盲分离算法。该算法基于PCMA信号中存在部分极端数据,按照单路源信号的参数估计结果去除频偏、相偏后能够凸显出极端数据,充分利用这部分极端数据,可以直接解调出源信号相应位置的传输符号,继而在PSP算法进行序列估计的过程中减少需要遍历的状态数,有效降低了PSP算法的复杂度,同时避免了极端符号位置的误码。仿真实验表明,在较高信噪比条件下,RSSE-PSP算法在分离复杂度和分离性能方面均优于传统的PSP算法。To address the high complexity of the per-survivor processing(PSP)algorithm in dealing with the blind separation of paired carrier multiple access(PCMA)signals,a reduced state sequence estimation per-survivor processing(RSSE-PSP)blind separation algorithm based on the extreme data aid(EDA)is proposed.The algorithm is based on the existence of part of the extreme data in the PCMA signal,which could be highlighted after removing the frequency bias and phase bias from the parameter estimation results of a single source signal.Then the extreme data is employed to directly demodulate the transmission symbols at the corresponding position of the source signal.Accordingly,the number of states to be traversed is decreased in the sequence estimation,which effectively reduces the PSP algorithm complexity,and avoids the error code at the extreme symbol position.Simulation experiments show that the RSSE-PSP algorithm outperforms the traditional PSP algorithm in terms of separation complexity and separation performance under higher SNR conditions.

关 键 词：成对载波多址信号 盲分离 减状态序列估计 逐幸存路径处理 极端数据 

分 类 号：TN911[电子电信—通信与信息系统]