DocumentCode :
1116815
Title :
A Unified Approach to Dynamic Length Algorithms for Adaptive Linear Equalizers
Author :
Wei, Xusheng ; Cruickshank, David G M ; Mulgrew, Bernard ; Riera-Palou, Felip
Author_Institution :
Wireless Group, Philips Res., Redhill
Volume :
55
Issue :
3
fYear :
2007
fDate :
3/1/2007 12:00:00 AM
Firstpage :
908
Lastpage :
920
Abstract :
The number of taps is an important factor which affects nearly all the performance and complexity measures of adaptive equalizers. Recently, dynamic length algorithms for the adaptive finite impulse response (FIR) filters have attracted considerable attention and several methods have been proposed. Nevertheless, the relationship among these techniques is still unclear which makes the performance comparison remaining difficult. In this paper, a unified explanation of these techniques is presented which summarizes all proposed algorithms and provides a platform for their performance comparison. Moreover, a new type of dynamic length algorithms, the varying threshold dynamic length algorithm (VT-DLA) is proposed. Simulation results show that the performance of the new algorithm outperforms that of existing algorithms
Keywords :
FIR filters; adaptive equalisers; adaptive filters; mean square error methods; FIR filters; adaptive finite impulse response filters; adaptive linear equalizers; varying threshold dynamic length algorithm; Adaptive algorithm; Adaptive filters; Algorithm design and analysis; Equalizers; Finite impulse response filter; Heuristic algorithms; Least squares approximation; Length measurement; Mean square error methods; Steady-state; Adaptive filters; dynamic length algorithm (DLA); filter length; least mean square (LMS); mean square error (MSE);
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2006.887561
Filename :
4099579
Link To Document :
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