基于判决反馈前馈的 RSDFF-PSP 盲分离算法

摘要

A reduced-state,decision feedback-feedforward per-survivor processing (RSDFF-PSP) separation algo-rithm is proposed for the paired carrier multiple access ( PCMA) single channel blind separation which has high computa-tional complexity with long channel memory.In the algorithm,the truncated PSP algorithm is employed to obtain the prelim-inary decisions,the pre-and post-cursors are ignored to control complexity.Then the global decision feedback and delayed decision feedforward filters are designed to process the pre-and post-cursors.Moreover,the second decision is combined to obtain better performance.Simulation results illustrate that the proposed algorithm can provide the tradeoff between complex-ity and performance,which has nearly the same performance as that of the per-survivor processing maximum likelihood se-quence estimation ( PSP-MLSE) while reducing the complexity.%针对信道记忆长度较大时，成对载波多址（ Paired Carrier Multiple Access ，PCMA）混合信号单通道盲分离复杂度高的问题，本文提出一种新型的减状态判决反馈前馈逐幸存路径处理（ Reduced-State Decision Feedback-Feed-forward Per-Survivor Processing ，RSDFF-PSP）分离算法。该算法先利用截短逐幸存路径处理（ Per-Survivor Processing ， PSP）算法得到预判决，忽略掉前导和后尾干扰的影响，将复杂度控制在能够容忍的范围内；然后分别设计全局判决反馈滤波器和延时判决前馈滤波器，利用分支路径度量的预判决结果反馈以及延时前馈来补偿前导和后尾干扰带来的性能损失，并结合二次判决获得了更佳的分离性能。仿真实验结果表明，RSDFF-PSP算法在减少复杂度的同时能够最大限度地得到逐幸存路径处理最大似然序列估计（ Per-Survivor Processing Maximum Likelihood Sequence Estimation ， PSP-MLSE）的性能，实现复杂度和性能的良好折中。