Title :
A reduced complexity adaptive soft-output M-algorithm for turbo-equalization
Author :
Dou, Huaiyu ; Fan, Xiangning ; Bi, Guangguo
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
fDate :
6/23/1905 12:00:00 AM
Abstract :
In this paper we present a reduced complexity soft-output detection algorithm called the adaptive SO-M-algorithm for turbo-equalization, which is a suboptimum version of the Lee algorithm based on the principle of the M-algorithm. In the adaptive SO-M-algorithm, the breadth and depth parameters are adaptively adjusted according to the convergence process of turbo-equalization, and a good performance/complexity ratio is obtained for channels with severe ISI
Keywords :
adaptive equalisers; adaptive signal detection; computational complexity; convergence; intersymbol interference; maximum likelihood detection; ISI; Lee algorithm; adaptive SO-M-algorithm; breadth parameters; convergence; depth parameters; reduced complexity adaptive soft-output M-algorithm; turbo-equalization; AWGN; Adaptive equalizers; Additive noise; Additive white noise; Bismuth; Convergence; Detection algorithms; Digital communication; Gaussian channels; Intersymbol interference;
Conference_Titel :
Vehicular Technology Conference, 2001. VTC 2001 Fall. IEEE VTS 54th
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-7803-7005-8
DOI :
10.1109/VTC.2001.956932
