[KSCI] Korea Science Citation Index Service

Very Efficient Maximum-Likelihood and Sub-Optimal Decoders for V-BLAST

Le Minh-Tuan (School of Engineering, Information and Communications University(ICU))
Pham Van-Su (School of Engineering, Information and Communications University(ICU))
Yoon Gi-Wan (Information and Communications University(ICU))

Publication Information

Journal of information and communication convergence engineering / v.4, no.1, 2006 , pp. 5-9 More about this Journal

Abstract

In this paper, a low-complexity ML decoder based on QR decomposition, called LCMLDec decoder, is proposed for the V-BLAST with 2 transmit antennas. Then, it is combined with other suboptimal interference nulling and cancelling decoders originated form QR decomposition such as sorted QR or MMSE-SQRD decoder to generate efficient decoders that significantly improve the performance of the V-BLAST with more than 2 transmit antennas, at the expense of a small increase in complexity. Simulation results are provided to demonstrate the performances and complexities of the proposed decoders.

Keywords

BLAST; MIMO systems; diversity; wireless communication; Zero-Forcing;

Citations & Related Records

Reference

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