Paper Info
Title
A Blind Separation Algorithm For Heterogeneous Mixed Signals
Abstract
Aiming at the problem that the existing algorithms can only achieve single-channel blind separation (SCBS) for signals with co-frequency and co-modulated, the gravitational field resampling particle filter (GFR-PF) algorithm was proposed. The GFR-PF can realize SCBS of binary phase shift keying (BPSK) and binary frequency shift keying (2FSK) that overlap in both time and frequency domain and are mixed in a single-channel with environmental noise. The GFR-PF was used to jointly detect symbols and estimate unknown parameters of the BPSK and 2FSK signals. Besides, the blind separation of different frequencies and different modulations signals, which was called the mixed heterogeneous signal blind separation (HSBS). The proposed algorithm not only improved the global search performance and tracking accuracy of the blind separation of the same frequency and same modulation mixed signals but also realized the HSBS of BPSK and 2FSK. Thus, the blind separation of heterogeneous mixed signals containing BPSK and 2FSK with different amplitudes and bit rates were achieved by the proposed algorithm. Based on this heterogeneous mixed signal model, it was proposed by this paper that anti-interception capability was improved through mixed transmission of BPSK and 2FSK signals with different amplitudes.
Year
DOI
Venue
2020
10.1007/s12243-020-00766-3
ANNALS OF TELECOMMUNICATIONS
Keywords
DocType
Volume
SCBS, Gravitational field algorithm, Particle filtering, Heterogeneous mixed signals, HSBS
Journal
75
Issue
ISSN
Citations 
11-12
0003-4347
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Tingting Huo100.34
Yong Gao2218.30