DocumentCode
2188733
Title
MIMO Detector Based on Viterbi Algorithm
Author
Lee, Jin ; Park, Sin-Chong
Author_Institution
System Integration Technology Institute, Information and Communications University
fYear
2007
fDate
17-19 Oct. 2007
Firstpage
111
Lastpage
115
Abstract
Suboptimal detectors of multiple-input multiple-output (MIMO) have been studied because the implementation of the optimum detector, the maximum-likelihood (ML) detector, has so far been considered infeasible for high-rate system. Sphere decoder (SD) using depth-first tree searching and K-best algorithm are used for near optimum detector. SD has the non-deterministic computational throughput and K-best requires the sorting unit whose complexity is significantly high when a large K is used together with high modulation constellation. In this paper, we propose a MIMO detector employing Viterbi algorithm instead of tree searching. This detector can keep the computational throughput constant and reduce the complexity because the sorting is not required. In the simulation, we analyze the advantage and the drawback of the proposed detector in the environment of IEEE 802.11n system.
Keywords
Analytical models; Computational modeling; Decision trees; Detectors; MIMO; Maximum likelihood decoding; Maximum likelihood detection; Sorting; Throughput; Viterbi algorithm; MIMO; MIMO detector; Sphere decoder;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems, 2007 IEEE Workshop on
Conference_Location
Shanghai, China
ISSN
1520-6130
Print_ISBN
978-1-4244-1222-8
Electronic_ISBN
1520-6130
Type
conf
DOI
10.1109/SIPS.2007.4387528
Filename
4387528
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