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A flexible near-optimum detector for V-BLAST
Conference proceeding

A flexible near-optimum detector for V-BLAST

Weiyu Xu, Youzheng Wang, Zucheng Zhou and Jing Wang
Proceedings of the IEEE 6th Circuits and Systems Symposium on Emerging Technologies: Frontiers of Mobile and Wireless Communication (IEEE Cat. No.04EX710), Vol.2, pp.681-684 Vol.2
2004
DOI: 10.1109/CASSET.2004.1321979

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Abstract

V-BLAST is an important multiple input and multiple output (MIMO) space-time architecture for future high data rate wireless communication system. In this paper, a novel computation-efficient metric-guided (MG) algorithm is proposed for V-BLAST signal detection. This algorithm can achieve near maximum likelihood (ML) detection performance with tractable detection complexity which is inherently adaptive to channel signal-noise ratio (SNR). Through adjusting the value oof one parameter, MG algorith offers the flexibility of achieving any in-between performance-complexity tradeoff between an efficient near-ML detection and original nulling/cancelling algorithm for V-BLAST. Simulation results show that proposed algorithm can offer near-ML detection performance with complexity even less than that of the Schnorr-Euchner sphere decoder (M. O. Damen et al., 2003) and stack algorithm (S. Baro et al., 2003).
Adaptive signal detection Decision feedback equalizers Detection algorithms Detectors Equations Maximum likelihood detection MIMO Scattering Signal detection Transmitting antennas

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