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Multiple Symbol Differential Approximate Maximum-Likelihood Detection for Unitary Space-Time Modulation in Continuous Fading

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3 Author(s)
Ying Li ; Nat. Univ. of Defense Technol., Changsha ; Xin Wang ; Jibo Wei

Recently, a multiple symbol differential sphere decoding (MSDSD) algorithm for unitary space-time modulation over quasi-static channel has been proved to achieve the performance of maximum-likelihood (ML) detection with relatively low complexity. However, an error floor occurs if the algorithm is applied to rapid-fading channels. Based on the assumption of continuous fading, a multiple symbol differential approximate automatic sphere decoding (MSDAASD) algorithm is developed by incorporating a recursive form of an approximate ML metric into automatic sphere decoding. The proposed algorithm is suitable for arbitrary unitary constellations and eliminates the error floor in MSDSD. Compared with decision-feedback detection under the same assumption, MSDAASD achieves similar performance to ML detection with much lower complexity at moderate to high signal-to-noise ratios

Published in:

Communication systems, 2006. ICCS 2006. 10th IEEE Singapore International Conference on

Date of Conference:

Oct. 2006