|Table of Contents|

[1] Fan Xiangning**, Dou Huaiyu, Bi Guangguo,. A Reduced Search Soft-Output Detection Algorithmand Its Application to Turbo-Equalization* [J]. Journal of Southeast University (English Edition), 2001, 17 (1): 8-12. [doi:10.3969/j.issn.1003-7985.2001.01.003]
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A Reduced Search Soft-Output Detection Algorithmand Its Application to Turbo-Equalization*()
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
17
Issue:
2001 1
Page:
8-12
Research Field:
Information and Communication Engineering
Publishing date:
2001-06-30

Info

Title:
A Reduced Search Soft-Output Detection Algorithmand Its Application to Turbo-Equalization*
Author(s):
Fan Xiangning** Dou Huaiyu Bi Guangguo
Department of Radio Engineering, Southeast University, Nanjing 210096, China
Keywords:
MAP algorithm Lee algorithm soft-output M-algorithm turbo-equalization
PACS:
TN911.5
DOI:
10.3969/j.issn.1003-7985.2001.01.003
Abstract:
To decrease the complexity of MAP algorithm, reduced-state or reduced-search techniques can be applied. In this paper we propose a reduced search soft-output detection algorithm fully based on the principle of M-algorithm for turbo-equalization, which is a suboptimum version of the Lee algorithm. This algorithm is called soft-output M-algorithm(denoted as SO-M-algorithm), which applies the M-strategy to both the forward recursion and the extended forward recursion of the Lee algorithm. Computer simulation results show that, by properly selecting and adjusting the breadth parameter and depth parameter during the iteration of turbo-equalization, this algorithm can obtain good performance and complexity trade-off.

References:

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Memo

Memo:
* The project supported by the National Natural Science Foundation of China(69882004).
** Born in 1964, male, doctor, associate professor.
Last Update: 2001-03-20