Low-complexity MIMO detection using a list projection technique

Jiun Ying Wu*, Wen-Rong Wu, Nan Chiun Lien

*此作品的通信作者

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

It is well known that the maximum likelihood (ML) detection for multiple-input-multiple-output (MIMO) systems requires high computational complexity. As a result, many suboptimal algorithms, achieving a tradeoff between computational complexity and performance, have been proposed. Among these algorithms, the sphere decoding (SD) detector is considered as a very efficient solution. However, the throughput of the SD is not constant and it greatly depends on for channel conditions. In general, the variation of the throughput is very large. As a result, its hardware implementation can be difficult or inefficient. In this paper, a low-complexity ML-like detection algorithm is proposed. While the proposed algorithm has a constant throughput, it can be computationally more efficient than the SD detection. The other advantage that the SD decoder doesn't have is that the proposed algorithm allows an easy tradeoff between complexity and performance.

原文English
主出版物標題2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008 - Proceedings
DOIs
出版狀態Published - 1 12月 2008
事件2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008 - Gold Coast, QLD, Australia
持續時間: 15 12月 200817 12月 2008

出版系列

名字2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008 - Proceedings

Conference

Conference2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008
國家/地區Australia
城市Gold Coast, QLD
期間15/12/0817/12/08

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