Abstract
In multiple antenna systems using spatial multiplexing to raise data rates, it is preferable to use maximum likelihood (ML) detection to fully benefit from multiplexing and diversity gain. In this paper, we present two tree based near ML detectors that use new ordering criteria in conjunction with an efficient tree search strategy. Compared with conventional tree detectors, the error performance of the new detectors closely approximates that of the exact ML detector while achieving a dramatic reduction in complexity. Moreover, the new schemes ensure a fixed detection delay and parallelization in tree search.
| Original language | English |
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| Title of host publication | WCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings |
| Pages | 153-158 |
| Number of pages | 6 |
| Publication status | Published - 2008 Sep 18 |
| Event | IEEE Wireless Communications and Networking Conference, WCNC 2008 - Las Vegas, NV, United States Duration: 2008 Mar 31 → 2008 Apr 3 |
Publication series
| Name | IEEE Wireless Communications and Networking Conference, WCNC |
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| ISSN (Print) | 1525-3511 |
Conference
| Conference | IEEE Wireless Communications and Networking Conference, WCNC 2008 |
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| Country | United States |
| City | Las Vegas, NV |
| Period | 08/3/31 → 08/4/3 |
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Keywords
- Layer ordering
- MIMO system
- Maximum likelihood detection
- Spatial multiplexing
- Tree search
ASJC Scopus subject areas
- Engineering(all)
Cite this
Jiang, W., Kubota, S., & Asai, Y. (2008). Approximate maximum likelihood detectors for MIMO spatial multiplexing systems. In WCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings (pp. 153-158). [4489063] (IEEE Wireless Communications and Networking Conference, WCNC).