Title :
Likelihood Ascent-Gibbs Sampling for efficient MIMO detection
Author :
Anil, K.K. ; Raju, A.K. ; Snehith, T.C. ; Ramanathan, R.
Author_Institution :
Dept. of Electron. & Commun. Eng, Amrita Vishwa Vidyapeetham, Coimbatore, India
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.
Keywords :
MIMO communication; channel estimation; phase shift keying; BPSK modulation scheme; LAS-MGS; MIMO detection; SNR; ZF-MGS; channel estimation error; likelihood ascent-Gibbs sampling; Binary phase shift keying; Bit error rate; Channel estimation; Complexity theory; Conferences; MIMO; Signal to noise ratio; Channel Estimation Error; Likelihood Ascent Search; MIMO detection; Mixed Gibbs Sampling;
Conference_Titel :
Advance Computing Conference (IACC), 2015 IEEE International
Conference_Location :
Banglore
Print_ISBN :
978-1-4799-8046-8
DOI :
10.1109/IADCC.2015.7154777
