DocumentCode :
1349546
Title :
Code acquisition of DS/SS signals in fading channels using an LMS adaptive filter
Author :
El-Tarhuni, Mohamed G. ; Sheikh, Asrar U H
Author_Institution :
Northern Telecom (Nortel), Ottawa, Ont., Canada
Volume :
2
Issue :
4
fYear :
1998
fDate :
4/1/1998 12:00:00 AM
Firstpage :
85
Lastpage :
88
Abstract :
The mean acquisition time performance for a direct-sequence spread-spectrum (DS/SS) code acquisition technique utilizing a finite impulse response (FIR) least-mean-square (LMS)-adaptive filter is investigated in fading conditions. The optimum tap-weight vector for the adaptive filter is derived and computer simulation results are presented to assess the acquisition performance for the system. It is shown that fading causes a slight degradation to the mean acquisition time (less than 3-dB signal-to-noise ratio (SNR) degradation) which is far less than that incurred by other systems utilizing matched filters (about 10 dB). In frequency selective fading channels, the adaptive nature of the proposed scheme is exploited to acquire the strongest received path and as the paths fade the new strongest available path is acquired.
Keywords :
FIR filters; adaptive filters; adaptive signal processing; cellular radio; coding errors; digital filters; digital radio; error statistics; fading; filtering theory; least mean squares methods; personal communication networks; spread spectrum communication; BER; DS/SS signals; FIR adaptive filter; LMS adaptive filter; SNR; code acquisition; computer simulation results; digital cellular systems; direct-sequence spread-spectrum; fading channels; finite impulse response; frequency selective fading channels; matched filters; mean acquisition time performance; optimum tap-weight vector; personal communications systems; signal-to-noise ratio; Adaptive filters; Computer simulation; Degradation; Fading; Finite impulse response filter; Frequency; Least squares approximation; Matched filters; Signal to noise ratio; Spread spectrum communication;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/4234.664213
Filename :
664213
Link To Document :
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