利用Gibbs采样的同频混合信号单通道盲分离

doi:10.11959/j.issn.1000-436x.2015090

Abstract

Abstract:

A Gibbs-sampler-based separation algorithm was proposed for single-channel co-frequency digital-modulated signals，which were received in non-cooperative ways.The probability density samples of unknown symbol sequences can be obtained by statistic method，and the computation complexity was not growing exponentially with the increase of channel order.With special emphasis on the separation algorithms of single pair of symbols，multiple pair of symbols and the tracking of channel responses.Moreover，the separation performance between Gibbs sampler and per-survivor processing(PSP) algorithm were analyzed and compared in detail.Simulation results show that，compared with PSP algorithm with L=4 for two co-frequency QPSK-modulated signals，Gibbs sampler can be nearly 17 times lower in computation complexity when the approximately performance is obtained.

Key words: single-channel blind separation, Gibbs sampler, PSP algorithm, paired carrier multiple access

Yong YANG,Dong-ling ZHANG,Hua PENG,Shi-long TU. Single-channel blind separation of co-frequency modulated signals based on Gibbs sampler[J]. Journal on Communications, 2015, 36(4): 157-162.

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分离算法	条件		实数加法次数			实数乘法次数
分离算法	条件	BPSK	QPSK	8PSK	BPSK	QPSK	8PSK
Gibbs	G=1	9 420	16 620	45 420	10 080	18 720	53 280
(L=9, N_g=60)	G=2	13 530	143 130	2 216 730	14 610	158 610	2 462 610
	L=3	2 240	115 712	6 963 200	2 272	116 224	6 971 392
PSP
	L=4	11 776	2 424 832	583 008 256	11 904	2 433 024	583 532 544

Single-channel blind separation of co-frequency modulated signals based on Gibbs sampler

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