Title :
Single channel MPSK signal and LFM signal separation using particle filtering
Author :
Chen, Xiao-Jun ; Zhang, Yang ; Tang, Bin ; Jing-Jing Du
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron., Sci. & Technol. of China, Chengdu, China
Abstract :
To separate a LFM signal and a MPSK signal which are overlapped in time and frequency domain and mixed in a single channel in the presence of environmental noise, a particle filtering based on Bayesian estimation framework is presented to jointly detect symbols of the MPSK signal and estimate unknown parameters of the MPSK signal and the LFM signal. Then the LFM signal is reconstructed using the estimated parameters. The computer simulations for the technique illustrate the performance of the separating result.
Keywords :
Bayes methods; noise (working environment); particle filtering (numerical methods); phase shift keying; source separation; Bayesian estimation; LFM signal separation; MPSK signal; environmental noise; linear frequency modulation; particle filtering; single channel; Bayesian methods; Blind source separation; Computer simulation; Filtering algorithms; Frequency domain analysis; Frequency estimation; Parameter estimation; Signal processing; Source separation; Working environment noise; Bayesian estimation; LFM signal; MPSK signal; particle filtering; single channel;
Conference_Titel :
Communication Systems, 2008. ICCS 2008. 11th IEEE Singapore International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-2423-8
Electronic_ISBN :
978-1-4244-2424-5
DOI :
10.1109/ICCS.2008.4737310
