Title :
Single-channel blind separation of MPSK and LFM interference using genetic particle filtering
Author :
Wei Lu ; Bangning Zhang ; Xiping Lu
Author_Institution :
Coll. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
A new approach is proposed for single-channel blind separation of MPSK signal and LFM interference. The proposed algorithm aims to obtain the maximum a posterior (MAP) estimate of communication symbols and unknown parameters using genetic particle filtering by establishing the state space model for the jammed signal. Specially, in order to overcome the sample impoverishment problem, genetic mechanism is introduced to the resampling process in particle filtering. Simulation results show that the proposed algorithm has better performance than the classical particle filtering, and is effective to separate MPSK signal and LFM interference with fewer particles.
Keywords :
blind source separation; maximum likelihood estimation; particle filtering (numerical methods); phase shift keying; radiofrequency interference; LFM interference; MPSK interference; communication symbols; genetic particle filtering; jammed signal; maximum a posterior; single-channel blind separation; state space model; Blind source separation; Communication symbols; Filtering; Filtering algorithms; Genetics; Interference; Jamming;
Conference_Titel :
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location :
Yangzhou
Print_ISBN :
978-1-4673-5137-9
DOI :
10.1109/ICIST.2013.6747813
