Improved VBLAST MAP: A novel point-to-point symbol detection algorithm for MIMO wireless communication systems

Dharmendra V. Chauhan; Jaymin K. Bhalani; Yogesh N. Trivedi

doi:10.3103/S0735272718050023

Authors

Dharmendra V. Chauhan Charotar University of Science and Technology, Changa, India https://orcid.org/0000-0002-6962-970X
Jaymin K. Bhalani Babaria Institute of Technology, Vadodara, India
Yogesh N. Trivedi Nirma University, Ahmedabad, India

DOI:

https://doi.org/10.3103/S0735272718050023

Keywords:

multiple input multiple output, MIMO, minimum mean square error, MMSE, vertical Bell laboratories layered space-time maximum a posteriori probabilities, VBLAST MAP, improved VBLAST

Abstract

A novel point-to-point symbol detection algorithm in multiple input multiple output (MIMO) system is proposed. This algorithm is an augmentation of two popular algorithms, namely, vertical Bell laboratories layered space-time (VBLAST) and maximum a posteriori probability (MAP). Here, layers are distinguished or ordered based on the a posteriori probabilities of output symbols and not on signal-to-noise ratio (SNR). For each layer, a set of a posteriori probabilities is computed for all output symbols using all possible signal constellations. The layer corresponding to the output symbol having minimum a posteriori probability is selected first from the set of a posteriori probabilities for detection by doing the comprehensive search over all the possible signal constellations. Then, the remaining layers are detected by the conventional VBLAST MAP technique. The relationship of MIMO symbol error rate (MIMO SER) versus MIMO symbol SNR is presented using simulations for 16x16 MIMO systems and 16-QAM constellation. The results show that the proposed algorithm outperforms conventional VBLAST MAP and improved VBLAST algorithms.

Author Biography

Dharmendra V. Chauhan, Charotar University of Science and Technology, Changa

Electronics and Communication

Assistant Professor

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