Particle filtering based single-channel blind separation of co-frequency MPSK signals

Author

Shilong, Tu ; Shaohe, Chen ; Hui, Zheng ; Jian, Wan

Author_Institution

Nat. Key Lab. of Blind Signal Process, Chengdu

fYear

2007

fDate

Nov. 28 2007-Dec. 1 2007

Firstpage

582

Lastpage

585

Abstract

In this paper, we rederive a particle filtering based algorithm for single-channel blind separation of co-frequency MPSK signals. A simplified implement approach is then proposed to reduce its complexity using an approximation and a sequential algorithm similar to the one utilized in decoding convolutional codes. Computer simulations show that the novel algorithm is superior compared to the existing

Keywords

blind source separation; convolutional codes; decoding; particle filtering (numerical methods); phase shift keying; cofrequency MPSK signals; convolutional codes; decoding; particle filtering; sequential algorithm; single-channel blind separation; Approximation algorithms; Computer simulation; Convolutional codes; Decoding; Filtering algorithms; Independent component analysis; Pulse modulation; Signal processing; Signal processing algorithms; Source separation; BSS; Single-channel blind separation; co-frequency; particle filtering; sequential algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-1447-5

Electronic_ISBN

978-1-4244-1447-5

Type

conf

DOI

10.1109/ISPACS.2007.4445954

Filename

4445954