DocumentCode :
999618
Title :
Low-complexity search for optimal delay in linear FIR MMSE equalization
Author :
Szczecinski, Leszek
Author_Institution :
Inst. Nat. de la Recherche Scientifique-EMT, Montreal, Que., Canada
Volume :
12
Issue :
8
fYear :
2005
Firstpage :
549
Lastpage :
552
Abstract :
In this letter, an efficient algorithm to determine the optimal delay in linear finite impulse response equalizers based on the minimum mean-square-error criterion is proposed. The algorithm uses the Levinson-Durbin (L-D) recursion as a starting point to find the values of the mean-square error for equalizers with all nontrivial delays. Despite the exhaustive search approach, the complexity of the proposed algorithm is only doubled when compared to the calculation of the equalizer with one prescribed delay. Such increase in complexity may be fully justified in practice because it yields globally optimal equalizer´s design.
Keywords :
FIR filters; computational complexity; delays; equalisers; least mean squares methods; optimisation; L-D algorithm; Levinson-Durbin recursion; finite impulse response; linear FIR MMSE equalization; low-complexity search; minimum mean-square-error criterion; nontrivial delay; optimal delay; Bit error rate; Delay lines; Digital communication; Equalizers; Finite impulse response filter; Frequency; IIR filters; Intersymbol interference; Nonlinear filters; Signal processing algorithms; Equalization; Levinson–Durbin (L–D) algorithm; equalization delay; fast algorithm; finite impulse response (FIR) equalization; minimum mean-square-error (MMSE) equalization; optimal delay; recursive algorithm;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2005.849541
Filename :
1468169
Link To Document :
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