Paper Info
Title
Wideband Blind Source Separation Algorithm Based On Beamforming
Abstract
As the problem of array mixing model of wideband signals cannot be solved by conventional blind source separation algorithms, an improved algorithm based on beamforming is proposed in this paper. First, the received signals are transformed into time-frequency domain, and the delays of source signals are estimated. Then, the received signals are compensated with the estimated delay in frequency domain. Finally, the desired signal is acquired by using Frost wideband beamforming algorithm. Due to adopting the new methods of single source point extraction and delay estimation, the complexity of the proposed algorithm is reduced. Pre-steering delay is used in frequency domain to eliminate the compensation error when the delay is not an integer multiple of the sampling interval, which improves the separation performance significantly. The simulation results show that the proposed algorithm can adequately solve the problem of delay mismatch and achieve wideband blind source separation effectively. The existing algorithms are mostly fail for frequency hopping signals when there are numerous overlapping time-frequency points. In this case, the proposed algorithm still has good separation performance.
Year
DOI
Venue
2019
10.1007/s11277-019-06398-8
WIRELESS PERSONAL COMMUNICATIONS
Keywords
Field
DocType
Wideband separation, Frequency hopping signal, Time-frequency analysis, Delay estimation
Integer,Frequency domain,Beamforming,Wideband,Computer science,Algorithm,Time–frequency analysis,Blind signal separation,Frequency-hopping spread spectrum,Multiple
Journal
Volume
Issue
ISSN
108
1
0929-6212
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Weihong Fu101.01
YiChen Zhang22610.72