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Bit error rate performance analysis of Cholesky decomposition based quasi ML receiver for large scale MIMO system

Bit error rate performance analysis of Cholesky decomposition based quasi ML receiver for large... Large scale multiple input multiple output (LS-MIMO) system is an emerging technology that has large antennas at both transmitter and receiver. In this paper, a novel approach is proposed namely Cholesky Decomposition based quasi maximum likelihood (ML) detector followed by list sequential (LISS) decoder (Quasi ML-LISS) receiver for LS-MIMO system. The refined empirical log-likelihood ratio (RELLR) generated by ML soft detector is decoded by using LISS decoder. The performance of the receiver is enhanced for turbo coded MIMO system by generating the RELLR at the detector output for higher order modulation. Simulation results show that bit error rate (BER) performance of proposed receiver is closer to the ML performance and superior to the multiple stage (MS) receiver. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electronic Government, an International Journal Inderscience Publishers

Bit error rate performance analysis of Cholesky decomposition based quasi ML receiver for large scale MIMO system

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1740-7494
eISSN
1740-7508
DOI
10.1504/EG.2017.088001
Publisher site
See Article on Publisher Site

Abstract

Large scale multiple input multiple output (LS-MIMO) system is an emerging technology that has large antennas at both transmitter and receiver. In this paper, a novel approach is proposed namely Cholesky Decomposition based quasi maximum likelihood (ML) detector followed by list sequential (LISS) decoder (Quasi ML-LISS) receiver for LS-MIMO system. The refined empirical log-likelihood ratio (RELLR) generated by ML soft detector is decoded by using LISS decoder. The performance of the receiver is enhanced for turbo coded MIMO system by generating the RELLR at the detector output for higher order modulation. Simulation results show that bit error rate (BER) performance of proposed receiver is closer to the ML performance and superior to the multiple stage (MS) receiver.

Journal

Electronic Government, an International JournalInderscience Publishers

Published: Jan 1, 2017

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