An Over-sampling Based Blind Separation Algorithm of Single Channel MPSK Signals

Cui Rong-tao; Li Hui; Wan Jian; Dai Xu-chu

doi:10.3724/SP.J.1146.2007.01792

Volume 31 Issue 3

Dec. 2010

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(3): 566-569

Cui Rong-tao, Li Hui, Wan Jian, Dai Xu-chu. An Over-sampling Based Blind Separation Algorithm of Single Channel MPSK Signals[J]. Journal of Electronics & Information Technology, 2009, 31(3): 566-569. doi: 10.3724/SP.J.1146.2007.01792

Citation:

Cui Rong-tao, Li Hui, Wan Jian, Dai Xu-chu. An Over-sampling Based Blind Separation Algorithm of Single Channel MPSK Signals[J]. Journal of Electronics & Information Technology, 2009, 31(3): 566-569. doi: 10.3724/SP.J.1146.2007.01792

Citation:

PDF( 241 KB)

An Over-sampling Based Blind Separation Algorithm of Single Channel MPSK Signals

doi: 10.3724/SP.J.1146.2007.01792

Received Date: 2007-11-20
Rev Recd Date: 2008-04-28
Publish Date: 2009-03-19

Abstract

Abstract

A new algorithm is proposed for blind separation of two MPSK mixture signals obtained by a single- channel receiver. The proposed algorithm is based on optimal Bayesian Estimation criteria, and implemented via the particle filtering that is used to sequentially estimate the transmitted symbols and parameters. By over-sampling, more information of received signal waveform is utilized, so better noise suppression is achieved. Simulation results show that the proposed algorithm can obviously improve the Bit Error Rate (BER) performance in noise environment. The performance limit of the proposed algorithm is also analyzed from the perspective of Maximum Likelihood criteria.

FullText(HTML)

References(1)

References

Li Yuanqing, Amari S, Cichocki A, Daniel W C H, and XieShengli. Undetermined blind source separation based onSparse Representation[J].IEEE Trans. on Signal Processing.2006, 54(2):423-437[2]Theis F J, Lang E W, and Puntonet C G. A geometricalgorithm for overcomplete linear ICA[J].Neurocomputing.2004, 56:381-398[3]蔡权伟, 魏平, 肖先赐. 基于模型拟合的重叠信号分离方法[J].电子学报, 2005, 33(10): 1794-1798.[4]Heidari S and Nikias C L. Co-channel interference mitigationin the time-scale domain: the CIMTS algorithm[J].IEEETrans. on Signal Processing.1996, 44(9):2151-2162[5]Warner E S and Proudler I K. Single-channel blind signalseparation of filtered MPSK signals[J].IEEE Proceedings,Radar, Sonar and Navigation.2003, 150(6):396-402[6]Liu Kai, Li Hui, Dai Xuchu, and Xu Xiaodong. Single channelblind signal separation of cofrequency MPSK signals[C].Proceedings of International Conference on Communication,Internet and Information Technology (CIIT 2006), St.Thomas, USVI, USA, Nov. 2006: 42-46.[7]Arulampalam M S, Maskell S, Gordon N, and Clapp T. Atutorial on particle filters for online nonlinear/non-gaussianbayesian tracking[J].IEEE Trans. on Signal Processing.2002,50(2):174-188[8]Liu J S and Chen R. Sequential monte carlo methods fordynamic systems[J]. Journal of American StatisticalAssociation, 1998, 93(443): 1032-1043.[9]Forney G D. Maximum-likelihood sequence estimation ofdigital sequences in the presence of intersymbolinterference[J]. IEEE Trans. on Information Theory, 1972,IT-18(3): 363-378.

Relative Articles

Supplements(0)

Cited By

Proportional views