Blind separation algorithm of PCMA signals with different symbol rates based on DG-PSP

Yi-ming GUO; Hua PENG; Yong YANG; Xue-juan WEI; Hao WANG

doi:10.11959/j.issn.1000-436x.2017063

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Blind separation algorithm of PCMA signals with different symbol rates based on DG-PSP

Papers | 更新时间：2024-06-05

- Blind separation algorithm of PCMA signals with different symbol rates based on DG-PSP
- Journal on Communications Vol. 38, Issue 3, Pages: 92-100(2017)
- 作者机构：
  
  1. 解放军信息工程大学信息系统工程学院，河南郑州 450002
  2. 解放军61081部队，北京 100094
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61401511)
- DOI：10.11959/j.issn.1000-436x.2017063
  CLC： TN911.7
- Online First：2017-03，
  
  Published：15 March 2017
- 稿件说明：
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Yi-ming GUO, Hua PENG, Yong YANG, et al. Blind separation algorithm of PCMA signals with different symbol rates based on DG-PSP[J]. Journal on Communications, 2017, 38(3): 92-100.
DOI：

Yi-ming GUO, Hua PENG, Yong YANG, et al. Blind separation algorithm of PCMA signals with different symbol rates based on DG-PSP[J]. Journal on Communications, 2017, 38(3): 92-100. DOI： 10.11959/j.issn.1000-436x.2017063.

摘要

针对非合作接收不同符号速率PCMA混合信号，提出一种基于双网格逐幸存路径处理（DG-PSP

double grid per-survivor processing）的分离算法。将2路信号分量的信道状态与输入分别视为2组动态网格，通过分别迭代更新2组网格状态实现混合信号重构，进而实现PCMA信号盲分离。重点研究了联合译码的迭代分离结构，并对不同参数估计误差下算法性能做了详细分析比较。所提算法复杂度与传统PSP算法相当，同时仿真结果表明，算法性能逼近联合界，当采用迭代处理时，在误比特率10

−2

数量级上经过一次迭代就能获得2 dB的信噪比增益，经过2次迭代则有近3 dB的信噪比增益。

Abstract

A blind separation algorithm was proposed for PCMA signals with different symbol rates based on double grid per-survivor processing (DG-PSP).The channel states and two input signal components were treated as two dynamic grids

receiving mixed-signal reconstructed by respectively iterative updating the two groups of grid status

thus achieving blind signal separation.The joint iterative decoding separation structure was focused

and a detailed analysis and comparison under different error estimation of parameters was shown.The complexity of the algorithm is similar to the traditional PSP algorithm.Simulation results show that

a gain of about 2 dB in signal-noise ratio can be obtained after the first iteration at a bit error rate of 10

−2

and a gain of nearly 3 dB in signal-noise ratio can be obtained after the sec

ond iteration.

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