Likelihood Estimation for Reduced-Complexity ML Detectors in a MIMO Spatial-Multiplexing System
スポンサーリンク
概要
- 論文の詳細を見る
This paper proposes a likelihood estimation method for reduced-complexity maximum-likelihood (ML) detectors in a multiple-input multiple-output (MIMO) spatial-multiplexing (SM) system. Reduced-complexity ML detectors, e. g., Sphere Decoder (SD) and QR decomposition (QRD)-M algorithm, are very promising as MIMO detectors because they can estimate the ML or a quasi-ML symbol with very low computational complexity. However, they may lose likelihood information about signal vectors having the opposite bit to the hard decision and bit error rate performance of the reduced-complexity ML detectors are inferior to that of the ML detector when soft-decision decoding is employed. This paper proposes a simple estimation method of the lost likelihood information suitable for the reduced-complexity ML detectors. The proposed likelihood estimation method is applicable to any reduced-complexity ML detectors and produces accurate soft-decision bits. Computer simulation confirms that the proposed method provides excellent decoding performance, keeping the advantage of low computational cost of the reduced-complexity ML detectors.
- (社)電子情報通信学会の論文
- 2008-03-01
著者
-
KUBO Hiroshi
Information Technology R&D Center, Mitsubishi Electric Corporation
-
NAGAYASU Takayuki
Information Technology R amp D Center, Mitsubishi Electric Corporation
-
Nagayasu Takayuki
Information Technology R&d Center Mitsubishi Electric Corporation
-
Nagayasu Takayuki
Information Technology R Amp D Center Mitsubishi Electric Corporation
-
HIGASHINAKA Masatsugu
Information Technology R&D Center, Mitsubishi Electric Corporation
-
MOTOYOSHI Katsuyuki
Information Technology R&D Center, Mitsubishi Electric Corporation
-
OKAZAKI Akihiro
Mitsubishi Electric ITE-TCL
-
SHIBUYA Akihiro
Information Technology R&D Center, Mitsubishi Electric Corporation
-
Shibuya Akihiro
Information Technology R&d Center Mitsubishi Electric Corporation
-
Higashinaka Masatsugu
Information Technology R&d Center Mitsubishi Electric Corporation
-
Kubo Hiroshi
Information Technology R&d Center Mitsubishi Electric Corporation
-
Motoyoshi Katsuyuki
Information Technology R&d Center Mitsubishi Electric Corporation
-
KUBO Hiroshi
Information Technology R&D Center, Mitsubishi Electric Corporation
-
OKAZAKI Akihiro
Mitsubishi Electric Corporation
関連論文
- Layered Soft Interference Cancellation for SC-MIMO Spatial Multiplexing Transmission with High Level Data Modulation
- A Multiple Open-Loop Frequency Estimation Based on Differential Detection for MPSK
- An Adaptive List-Output Viterbi Equalizer with Fast Compare-Select Operation (Special Issue on Multimedia Mobile Communication Systems)
- Narrow-Band Phase-Rotating Phase-Shift Keying
- A Multi-Beam Combining Scheme for DS-CDMA Systems Using Weighting Factor Based on Interference Level
- Layered Soft Interference Cancellation for SC-MIMO Spatial Multiplexing Transmission with High Level Data Modulation
- A Multiple-Symbol Differential Detection Based on Channel Prediction for Fast Time-Varying Fading(Wireless Communication Technologies)
- A Soft-Output Viterbi Equalizer Employing Expanded Memory Length in a Trellis
- 3-Hop Cooperative Diversity Using Quasi-Orthogonal Space-Time Block Code
- Likelihood Estimation for Reduced-Complexity ML Detectors in a MIMO Spatial-Multiplexing System