信息工程大学学报2024，Vol.25Issue(4)：384-390,7.DOI:10.3969/j.issn.1671-0673.2024.04.002
极端数据辅助的RSSE-PSP盲分离算法
RSSE-PSP Blind Separation Algorithm Based on Extreme Data Assistance
李钟书 1李天昀 1李放 1邱钊洋 1杨开元1
作者信息
摘要
Abstract
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 se-quence estimation per-survivor processing(RSSE-PSP)blind separation algorithm based on the ex-treme 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 em-ployed 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 tradi-tional 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Key words
paired carrier multiple access signals/blind separation/reduced state sequence esti-mation/per-survivor processing/extreme data分类
信息技术与安全科学引用本文复制引用
李钟书,李天昀,李放,邱钊洋,杨开元..极端数据辅助的RSSE-PSP盲分离算法[J].信息工程大学学报,2024,25(4):384-390,7.
