DocumentCode
1497707
Title
Blind adaptive FRESH filtering for signal extraction
Author
Zhang, J. ; Wong, K.M. ; Luo, Z.-Q. ; Ching, P.C.
Author_Institution
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Volume
47
Issue
5
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
1397
Lastpage
1402
Abstract
A blind adaptive method called the BA-FRESH (optimum frequency-shift) filtering technique is proposed and its convergence analyzed. The BA-FRESH filter does not require training signals nor knowledge of the statistics of the desired signal. It is capable of separating desired signals from spectrally overlapping interference by knowing only the cycle frequencies of the signals
Keywords
Wiener filters; adaptive filters; adaptive signal processing; cochannel interference; convergence of numerical methods; filtering theory; interference suppression; radiofrequency interference; BA-FRESH filtering; blind adaptive FRESH filtering; co-channel interference; convergence; cycle frequencies; cyclic Wiener filter; cyclostationary properties; optimum frequency-shift; signal extraction; signal separation; spectrally overlapping interference; Adaptive filters; Autocorrelation; Convergence; Filtering; Frequency; Interchannel interference; Signal design; Signal processing; Statistics; Wiener filter;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.757230
Filename
757230
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