Tree Based Approximate Optimal Signal Detectors for MIMO Spatial Multiplexing Systems
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概要
- 論文の詳細を見る
In multiple antenna systems that use spatial multiplexing to raise transmission rates, it is preferable to use maximum likelihood (ML) detection to exploit the full receive diversity and minimize the error probability. In this paper, we present two tree based approximate ML detectors that use new two ordering criteria in conjunction with efficient search strategies. Unlike conventional tree detectors, the new detectors closely approximate the error performance of the exact ML detector while achieving a dramatic reduction in complexity. Moreover, they ensure a fixed detection delay and high level of parallelization in the tree search.
- （社）電子情報通信学会の論文
- 2009-02-01
著者
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Kubota Shuji
College Of Engineering Shibaura Institute Of Technology
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ASAI Yusuke
NTT Network Innovation Laboratories, NTT Corporation
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Jiang Wenjie
Ntt Network Innovation Laboratories Ntt Corporation
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Asai Yusuke
Ntt Network Innovation Laboratories Ntt Corporation
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