A Single Channel Blind Separation Algorithm for Mixed Signals Applying the Base Expansion Model

doi:10.7652/xjtuxb201506010

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A Single Channel Blind Separation Algorithm for Mixed Signals Applying the Base Expansion Model

更新时间：2025-07-09

- A Single Channel Blind Separation Algorithm for Mixed Signals Applying the Base Expansion Model
- Vol. 49, Issue 6, Pages: 60-66(2015)
- 作者机构：
  
  信息工程大学信息系统工程学院,郑州,450002
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb201506010
  CLC： TN911.7
- Online First：10 June 2015，
  
  Published：2015
- 稿件说明：
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A Single Channel Blind Separation Algorithm for Mixed Signals Applying the Base Expansion Model[J]. 2015, 49(6): 60-66.
DOI：

A Single Channel Blind Separation Algorithm for Mixed Signals Applying the Base Expansion Model[J]. 2015, 49(6): 60-66. DOI： 10.7652/xjtuxb201506010.

摘要

针对传统最小均方误差逐幸存路径处理(LMS-PSP)单通道盲分离算法在时变信道下性能差的问题

提出一种基于基扩展模型逐幸存路径处理(BEM-PSP)的单通道盲分离算法。首先对接收到的部分混合信号进行LMS-PSP单通道盲分离

得到部分准确的信道冲激响应(CIR); 然后结合时变信道下基于基扩展模型进行信道估计的思想

完成整个时间周期CIR的估计; 最后采用Viterbi算法对混合信号进行序列估计

从而实现时变信道下混合信号的单通道盲分离。仿真结果表明

对于2路混合QPSK信号

在相同仿真条件下

BEM-PSP算法较LMS-PSP算法能降低50%的复杂度且能获得更好的性能

在20 dB处的误码率可达4×10

-2

而LMS-PSP单通道盲分离算法的误码率只能达到1×10

-1

并且在同等过采样倍数下

该算法能获得更高的性能提升。

Abstract

A new algorithm based on basis expansion model per-survivor processing(BEM-PSP)is proposed to overcome the poor performance of the traditional least mean square per-survivor processing(LMS-PSP)algorithm for single channel blind separation in time-varying channels. First

a portion of accurate channel impulse response(CIR)is obtained through processing a portion of received mixed signals. Then

estimations of the CIR during the whole time period is accomplished by combining the channel estimation using the basis expansion model. Finally

the Viterbi algorithm is applied to estimate sequences to the mixed signals

and the single channel blind separation of the mixed signals is accomplished. Simulation results and

a comparison with the LMS-PSP single channel blind separation algorithm in same simulation conditions show that the complexity of the proposed algorithm reduces by 50% with better performance in processing mixed QPSK signals

and that the proposed algorithm achieves a bit error rate of 4×10

-2

while the LMS-PSP algorithm only achieves a bit error rate of 1×10

-1

when the signal to noise ratio is 20 dB. It is also observed that the proposed algorithm obtains a higher performance improvement with the same oversampling ratio.

关键词

Keywords

references

朱航, 张淑宁, 赵惠昌. 基于广义周期性的单通道多分量正弦调频信号分离和参数估计 [J]. 电子与信息学报, 2014, 36(10): 2438-2444.

ZHU Hang, ZHANG Shuning, ZHAO Huichang. Single channel source separation and parameters estimation of multi-component sinusoid frequency modulation signal based on generalized periodic [J]. Journal of Electronics & Information Technology, 2014, 36(10): 2438-2444.

张冬玲, 杨勇, 李静, 等. 基于Turbo均衡和信道估计的单通道盲信号恢复算法 [J]. 通信学报, 2014, 35(1): 47-53.

ZHANG Dongling, YANG Yong, LI Jing, et al. Blind data recovery of single-channel mixed signals based on Turbo equalization and channel estimation [J]. Journal on Communications, 2014, 35(1): 47-53.

廖灿辉, 涂世龙, 万坚. 抗频偏的突发GMSK混合信号单通道盲分离算法 [J]. 通信学报, 2013, 34(5): 88-96.

LIAO Canhui, TU Shilong, WANG Jian. Anti-frequency-offset algorithm on single-channel blind separation of burst GMSK mixed signals [J]. Journal on Communications, 2013, 34(5): 88-96.

WARNER E S, PROUDLER I K. Single-channel blind signal separation of filtered MPSK signals [J]. IEE Proceedings: Radar, Sonar and Navigation, 2003, 150(6): 396-402.

HEIDARI S, NIKIAS C L. Co-channel interference mitigation in the time-scale domain: the CIMTS algorithm [J]. IEEE Transactions on Signal Processing, 1996, 44(9): 2151-2162.

毕琰. 基于成对载波多址技术的卫星通信关键技术研究 [D]. 上海: 上海交通大学, 2013: 11-13.

万坚, 涂世龙, 廖灿辉, 等. 通信混合信号盲分离理论与技术 [M]. 北京: 国防工业出版社, 2012: 226-227.

LIU K, LI H, DAI X, et al. Single channel blind separation of cofrequency MPSK signals [C]∥Proceedings of the Fifth AISTED International Conference on Communications, Internet, and Information Technology. Calgary, AB, Canada: Acta Press, 2006: 42-46.

崔荣涛, 李辉, 万坚, 等. 一种基于过采样的单通道MPSK信号盲分离算法 [J]. 电子与信息学报, 2009, 31(3): 566-569.

CUI Rongtao, LI Hui, WANG Jian, et, al. An over-sampling based blind separation algorithm of single channel MPSK signals [J]. Journal of Electronics Information Technology, 2009, 31(3): 566-569.

涂世龙, 郑辉. 同频混合信号的一种实时盲解调方案 [J]. 系统仿真学报, 2009, 21(19): 6203-6206.

TU Shilong, ZHENG Hui. Real-time blind demodulation scheme of co-frequency signals [J]. Journal of System Simulation, 2009, 21(9): 6203-6206.

TU S L, ZHENG H, GU N. Single-channel blind separation of two QPSK signals using per-survivor processing[C]∥ Proceedings of 2008 IEEE Asia Pacific Conference on Circuits and Systems. Piscataway, NJ, USA: IEEE, 2008: 473-476.

黄敏, 李兵兵. 基于整体最小二乘的联合信道估计及OFDM信号检测算法 [J]. 电子与信息学报, 2014, 36(6): 1448-1453.

HUANG Min, LI Bingbing. Joint channel estimation and OFDM signals detection based on total least square [J]. Journal of Electronics Information Technology, 2014, 36(6): 1448-1453.

杨小平, 顾亚平, 张俊. 基于复指数基扩展模型的抑制Gibbs效应的时变无线信道估计 [J]. 电子学报, 2013, 41(1): 138-143.

YANG Xiaoping, GU Yaping, ZHANG Jun. Mitigating Gibbs effect time-varying wireless channel estimation based on CE-BEM [J]. Acta Electronica Sinica, 2013, 41(1): 138-143.

秦文. OFDM系统中子载波间干扰的产生因素及消除研究 [D]. 成都: 电子科技大学, 2008: 72-78.

张钦娟, 武穆清, 郭起霖, 等. OFDM系统中优化的泛化复指数基扩展模型 [J]. 西安电子科技大学学报, 2012, 39(3): 131-135.

ZHANG Qinjuan, WU Muqing, GUO Qilin, et al. Optimized generalized complex exponential basis expansion in the OFDM system [J]. Journal of Xidian University, 2012, 39(3): 131-135.

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