Title :
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
fDate :
Nov. 28 2007-Dec. 1 2007
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;
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
DOI :
10.1109/ISPACS.2007.4445954
