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dc.contributor.authorWang, Chun-Linen_US
dc.contributor.authorLin, Yu-Tingen_US
dc.contributor.authorSu, Yu T.en_US
dc.date.accessioned2014-12-08T15:21:46Z-
dc.date.available2014-12-08T15:21:46Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-6398-5en_US
dc.identifier.urihttp://hdl.handle.net/11536/15511-
dc.description.abstractIn this paper, we apply simulation-based optimization methods to detect quadrature amplitude modulated (QAM) MIMO signals. The first one is the so-called Cross-Entropy (CE) method which enables the corresponding CE-based detector to provide bit-error-rate (BER) performance close to that achievable by the maximum-likelihood (ML) detector when the signal-to-noise ratio (SNR) is relatively low. Unfortunately, the performance curves exhibit error floors in the high SNR region. To improve the performance in the high SNR region, we borrow the concept of Particle Swarm Optimization (PSO) and refer to the resulting iterative detector as the Particle-Swarm-driven Cross-Entropy (PSD-CE) MIMO detector. This detector gives a significant BER performance improvement in the medium-to-high SNR region. We also consider the case when the channel state information is imperfect and suggest a robust detector structure based on a modified score function.en_US
dc.language.isoen_USen_US
dc.titleA Particle-Swarm-Driven Cross-Entropy Method for MIMO Signal Detectionen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2010 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC 2010)en_US
dc.contributor.department傳播研究所zh_TW
dc.contributor.departmentInstitute of Communication Studiesen_US
dc.identifier.wosnumberWOS:000299203103007-
Appears in Collections:Conferences Paper