Publication Type:

Conference Paper

Source:

Advance Computing Conference (IACC), 2015 IEEE International (2015)

Keywords:

Binary phase shift keying, Bit error rate, BPSK modulation scheme, Channel estimation, channel estimation error, Complexity theory, Conferences, LAS-MGS, Likelihood Ascent Search, likelihood ascent-Gibbs sampling, MIMO, MIMO communication, MIMO detection, Mixed Gibbs Sampling, phase shift keying, Signal to noise ratio, SNR, ZF-MGS

Abstract:

In this paper, we propose a hybridized Likelihood Ascent-Mixed Gibbs Sampling (LAS-MGS) for effective detection with channel estimation error. We analyze its performance in the presence of channel estimation error for 2×2 and 4×4 MIMO systems employing BPSK modulation scheme. At low SNRs, performance of ZF-MGS and LAS-MGS is similar but at high SNRs, LAS-MGS performs significantly better. LAS-MGS outperforms conventional Mixed Gibbs Sampling (MGS) and we are able to harness similar gain even with channel estimation errors. We conclude that LAS-MGS is a worthy candidate for further research.

Cite this Research Publication

K. K. Anil, Raju, A. K., Snehith, T. C., and R. Ramanathan, “Likelihood Ascent-Gibbs Sampling for efficient MIMO detection”, in Advance Computing Conference (IACC), 2015 IEEE International, 2015.