DocumentCode
2310437
Title
On reduced state equalizers
Author
Li, Shengchao ; Fitz, Michael P.
Author_Institution
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Volume
2
fYear
2001
fDate
4-7 Nov. 2001
Firstpage
1041
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7147-X
Type
conf
DOI
10.1109/ACSSC.2001.987653
Filename
987653
Link To Document