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A performance study of MIMO detectors in the presence of channel estimation errors

Publication Type : Conference Paper

Publisher : Institute of Electrical and Electronics Engineers Inc.

Source : Proceedings - 2015 International Conference on Communication, Information and Computing Technology, ICCICT 2015, Institute of Electrical and Electronics Engineers Inc. (2015)

Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84925596882&partnerID=40&md5=f40fbc418c09d5351e275b776aed7f24

ISBN : 9781479955220

Keywords : Algorithms, Channel estimation, Channel estimation errors, Computational complexity, Errors, Estimation errors, Higher-order systems, Likelihood Ascent Search, Low complexity algorithm, Lower order systems, MIMO detection, MIMO systems, Performance study, Signal to noise ratio, Tabu search

Campus : Coimbatore

School : School of Engineering

Department : Electronics and Communication

Year : 2015

Abstract : In this paper, we investigate the performance of the low-complexity algorithms based on Likelihood Ascent Search (LAS) and Tabu Search (TS) for detection in MIMO systems with channel estimation errors. Here, we briefly review the algorithms for LAS and TS and their variants and subsequently compare them for various MIMO settings. We provide the simulation results for BER performance in 2× 2, 4× 4 and 8× 8 MIMO systems. From the results, we conclude that Tabu Search shows no degradation in BER up to an estimation error variance of 0.05 in lower order systems, while LAS offers the same advantage in higher order systems. However, this trend is also valid for LAS in lower order systems, in the low SNR regime. We corroborate that LAS and TS are worthy candidates for further research. © 2015 IEEE.

Cite this Research Publication : I. Aravindan, K. Antony, R., K. Kumar, A., Snehith, T. C., Padmakumar, A., and Dr. Ramanathan R., “A performance study of MIMO detectors in the presence of channel estimation errors”, in Proceedings - 2015 International Conference on Communication, Information and Computing Technology, ICCICT 2015, 2015.

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