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Adaptive MIMO Detection for Circular Signals by Jointly Exploiting the Properties of Both Signal and Channel
Yuehua DING Yide WANG Nanxi LI Suili FENG Wei FENG
IEICE TRANSACTIONS on Communications
Publication Date: 2014/11/01
Online ISSN: 1745-1345
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
widely linear processing, array signal processing, MIMO systems, fixed-complexity sphere decoder (FSD), zero-forcing (ZF), minimum mean square error (MMSE),
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In this paper, an adaptive expansion strategy (AES) is proposed for multiple-input/multiple-output (MIMO) detection in the presence of circular signals. By exploiting channel properties, the AES classifies MIMO channels into three types: excellent, average and deep fading. To avoid unnecessary branch-searching, the AES adopts single expansion (SE), partial expansion (PE) and full expansion (FE) for excellent channels, average channels and deep fading channels, respectively. In the PE, the non-circularity of signal is exploited, and the widely linear processing is extended from non-circular signals to circular signals by I (or Q) component cancellation. An analytical performance analysis is given to quantify the performance improvement. Simulation results show that the proposed algorithm can achieve quasi-optimal performance with much less complexity (hundreds of flops/symbol are saved) compared with the fixed-complexity sphere decoder (FSD) and the sphere decoder (SD).