Decoding With Hypothesis Testing: A Near ML Decoding Scheme for MIMO Systems

Author

Oh, Jongho ; Park, So Ryoung ; Lee, Seong Ro ; Song, Iickho

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea

Volume

60

Issue

3

fYear

2011

fDate

3/1/2011 12:00:00 AM

Firstpage

1251

Lastpage

1257

Abstract

A near maximum-likelihood (NML) scheme for the decoding of multiple-input-multiple-output (MIMO) systems is addressed by incorporating the technique of hypothesis testing in the searching procedure. The proposed decoding scheme selects the best node based on the node metric, determines one child node of the best node via hypothesis testing, and connects the best node with some sibling nodes of the child node. From simulation results, it is confirmed that the proposed scheme has a lower computational complexity than other NML decoders and that the performance difference between the proposed and maximum-likelihood schemes is negligibly small.

Keywords

MIMO systems; computational complexity; maximum likelihood decoding; tree searching; MIMO systems; child node; computational complexity; hypothesis testing; metric-first search; near maximum-likelihood decoding; node metric; sibling nodes; tree search; Hypothesis testing; metric-first search; multiple-input–multiple-output (MIMO) systems; near maximum-likelihood (NML) decoder; tree search;

fLanguage

English

Journal_Title

Vehicular Technology, IEEE Transactions on

Publisher

ieee

ISSN

0018-9545

Type

jour

DOI

10.1109/TVT.2011.2104986

Filename

5685294