Title :
Single channel time-varying amplitude LFM interference blind separation using MHMPSO particle filtering
Author :
Wei Lu ; Bangning Zhang
Author_Institution :
Coll. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
Abstract :
A new approach is proposed for single channel blind signal separation(SCBSS) problem of communication signal and time-varying amplitude LFM interference based on Metropolis-Hastings mutation particle swarm optimized particle filtering (MHMPSOPF). The proposed algorithm aims to obtain the maximum a posterior (MAP) estimate of communication code and the unknown parameters using particle filtering by establishing the state space model for the interfered signal, Specially, in order to overcome the sample impoverishment problem, particle swarm optimized is introduced to the re-sampling process in particle filtering(PF). In such a way, the number of needed particles is reduced and the variety of particles is retained during the sequential estimation process, moreover, the proposed algorithm has superior performance under time-varying amplitude LFM interference. Simulation results show that the method is effective to separate communication signal and interference when the ISR is less than 20dB and SNR is more than 14dB.
Keywords :
blind source separation; frequency modulation; interference (signal); maximum likelihood estimation; particle filtering (numerical methods); particle swarm optimisation; state-space methods; time-varying channels; MAP estimate; MHMPSO particle filtering; MHMPSOPF; Metropolis-Hastings mutation particle swarm optimized particle filtering; SCBSS problem; communication code; communication signal; interfered signal; maximum a posterior estimate; resampling process; sequential estimation process; single channel blind signal separation; single channel time-varying amplitude LFM interference blind separation; state space model; Communication symbols; Conferences; Filtering; Image processing; Interference; Particle swarm optimization; Signal to noise ratio; Intereference-Signal-Ratio; LFM Interference; Mutation particle swarm optimized particle filtering; Single channel blind separation; State space model;
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on
Conference_Location :
Melaka
Print_ISBN :
978-1-4799-0267-5
DOI :
10.1109/ICSIPA.2013.6708044