Title :
Particle filtering algorithms for single-channel blind separation of convolutionally coded signals
Author :
Canhui Liao ; Shilong Tu ; Shidong Zhou
Author_Institution :
State Key Lab. on Microwave & Digital Commun., Tsinghua Univ., Beijing, China
Abstract :
In this paper, we propose a particle filtering based algorithm for single-channel blind separation (SCBS) of two convolutionally coded signals. We utilize the convolution code to enhance the performance of separation. By modifying the generalized state-space representation of the SCBS model, we obtain an approach for joint separation and decoding of two source signals. Two conventional algorithms, which execute decoding after signal separation, are then discussed and compared with the proposed algorithm. Computer simulations show that the proposed algorithm makes a significant improvement in symbol error rate (SER) performance over the two conventional algorithms.
Keywords :
blind source separation; convolutional codes; decoding; particle filtering (numerical methods); convolution code; convolutionally coded signals; decoding; generalized state-space representation; particle filtering; separation performance; signal separation; single-channel blind separation; symbol error rate performance; Computer simulation; Convolution; Convolutional codes; Decoding; Digital communication; Filtering algorithms; Particle filters; Signal processing; Signal processing algorithms; Source separation;
Conference_Titel :
Intelligent Signal Processing and Communication Systems, 2009. ISPACS 2009. International Symposium on
Conference_Location :
Kanazawa
Print_ISBN :
978-1-4244-5015-2
Electronic_ISBN :
978-1-4244-5016-9
DOI :
10.1109/ISPACS.2009.5383761