Title :
On reduced state equalizers
Author :
Li, Shengchao ; Fitz, Michael P.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
We prove that mean-square whitened matched filter delayed decision-feedback equalizer (MSWMF-DDFSE) is optimal in terms of maximum signal-to-noise ratio (MSNR). We also present a bidirectional MSWMF-DDFSE and a reduced state maximum a posteriori (MAP) equalizer based on MSWMF-DDFSE.
Keywords :
computational complexity; decision feedback equalisers; least mean squares methods; matched filters; maximum likelihood estimation; MMSE; SNR; computation complexity; delayed decision-feedback equalizer; delayed decision-feedback sequence estimation; maximum a posteriori equalizer; maximum equalizer; minimum mean-square error; signal-to-noise ratio; whitened matched filter; Bidirectional control; Decision feedback equalizers; Delay estimation; Demodulation; Intersymbol interference; Matched filters; Maximum likelihood estimation; Signal to noise ratio; Tail; Viterbi algorithm;
Conference_Titel :
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7147-X
DOI :
10.1109/ACSSC.2001.987653
