DocumentCode :
2212207
Title :
Super-exponentially convergent blind fractionally-spaced equalization and co-channel interference rejection
Author :
Schell, Stephan V. ; Shrimpton, Thomas E.
Author_Institution :
Schell Vector Signals Res., Yountville, CA, USA
Volume :
2
fYear :
1996
fDate :
21-24 Oct 1996
Firstpage :
607
Abstract :
The Super-Exponentially convergent Method (SEM) of Shalvi and Weinstein (1993) is extended here to adapt a fractionally spaced equalizer (FSE) instead of a symbol-spaced equalizer to recover man-made communication signals distorted by linear time-invariant systems. The extended SEM (ESEM) is applicable to PAM, QAM, PSK, and ASK signals having non-Gaussian symbol sequences received in additive WSS Gaussian noise. Unlike many other blind equalization methods (especially those that use only second-order statistics of cyclostationarity), it is shown analytically and via computer simulations that the ESEM can also reject partially spectrally overlapping co-channel interference
Keywords :
Gaussian noise; adaptive equalisers; amplitude shift keying; cochannel interference; convergence of numerical methods; filtering theory; interference suppression; phase shift keying; pulse amplitude modulation; quadrature amplitude modulation; ASK; PAM; PSK; QAM; additive WSS Gaussian noise; blind equalization; co-channel interference rejection; fractionally spaced equalizer; linear time-invariant systems; man-made communication signals; non-Gaussian symbol sequences; partially spectrally overlapping co-channel interference; super-exponentially convergent method; Additive noise; Amplitude shift keying; Blind equalizers; Computer simulation; Distortion; Gaussian noise; Interchannel interference; Phase shift keying; Quadrature amplitude modulation; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, 1996. MILCOM '96, Conference Proceedings, IEEE
Conference_Location :
McLean, VA
Print_ISBN :
0-7803-3682-8
Type :
conf
DOI :
10.1109/MILCOM.1996.569417
Filename :
569417
Link To Document :
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