Efficient Maximum-Likelihood and Sub-optimal Decoders

  • Le, Minh-Tuan (School of Engineering, Information and Communications University) ;
  • Pham, Van-Su (School of Engineering, Information and Communications University) ;
  • Mai, Linh (School of Engineering, Information and Communications University) ;
  • Yoon, Giwan (School of Engineering, Information and Communications University)
  • Published : 2005.10.28

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