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
fDate :
5/1/1999 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on
