Title :
Improved power efficiency of the LC-LMS equalizer through partial elimination of the constraint update
Author_Institution :
Space & Naval Warfare Syst. Center, San Diego, CA, USA
Abstract :
We investigate the conditions for which elimination of the square root raised-cosine matched filter processing of the linearly constrained LMS equalizer leads to reduced computational complexity and improved power efficiency of this constrained equalizer. We demonstrate that the extent of the power efficiency is dependent upon the value of the adaptation constant associated with channel inversion. Previous literature (F. Haris et al., (2002) which stressed the ability of this joint process equalizer to conserve the hardware of the square root raised-cosine matched filter, combined with the potential for power efficiency emphasized in this paper, promote a new class of fractional-spaced equalizers that efficiently utilize 100% of the spectral band to reduce the cost of digital receiver implementation.
Keywords :
equalisers; least mean squares methods; matched filters; channel inversion; fractional-spaced equalizers; linearly constrained LMS equalizer; partial elimination; power efficiency; square root raised-cosine matched filter; Adaptive equalizers; Adaptive filters; Attenuation; Computational complexity; Costs; Decision feedback equalizers; Hardware; Least squares approximation; Matched filters; Signal processing;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Seventh Asilomar Conference on
Print_ISBN :
0-7803-8104-1
DOI :
10.1109/ACSSC.2003.1292233