Current Result Document :
| 한글제목(Korean Title) |
MIMO 시스템을 위한 IRA 기반 통계적 가지치기를 사용하는 Schnorr-Euchner Sphere Decoding |
| 영문제목(English Title) |
Schnorr-Euchner Sphere Decoding with Statistical Pruning based on IRA for MIMO Systems |
| 저자(Author) |
안준일
이동훈
김종문
김기선
Junil Ahn
Donghun Lee
Jongmoon Kim
Kiseon Kim
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| 원문수록처(Citation) |
VOL 19 NO. 01 PP. VD2 ~ 0005 (2009. 04) |
한글내용
(Korean Abstract) |
A low complexity sphere decoding (SD) with statistical pruning named as the IRA-SESD is studied in this paper. The IRA-SESD uses the Schnorr-Euchner (SE) enumeration, and adopts increasing radii algorithm (IRA) based on exact probabilistic distribution of path metric. The IRA-SESD provides near-ML performance with relatively low complexity than the conventional SDs. The studied IRA-SESD algorithms are evaluated by computer simulation for uncoded spatial multiplexing (SM) multiple-input multiple-output (MIMO) system. Simulation results support that our proposed scheme can achieve high detection efficiency for the SM MIMO system.
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영문내용
(English Abstract) |
A low complexity sphere decoding (SD) with statistical pruning named as the IRA-SESD is studied in this paper. The IRA-SESD uses the Schnorr-Euchner (SE) enumeration, and adopts increasing radii algorithm (IRA) based on exact probabilistic distribution of path metric. The IRA-SESD provides near-ML performance with relatively low complexity than the conventional SDs. The studied IRA-SESD algorithms are evaluated by computer simulation for uncoded spatial multiplexing (SM) multiple-input multiple-output (MIMO) system. Simulation results support that our proposed scheme can achieve high detection efficiency for the SM MIMO system.
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| 키워드(Keyword) |
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