NDLI: Improved LAS detector for MIMO systems with imperfect channel state information

Content Provider	IET Digital Library
Author	Chihaoui, Issa Ammari, Mohamed Lassaad Fortier, Paul
Abstract	Likelihood ascent search (LAS) detector is a neighbourhood search algorithm and one of the simplest schemes for low-complexity near-optimal detection in massive multiple-input multiple-output systems. LAS detector design under the assumption of perfect channel state information has been an area of research for decades. However, channel estimation errors have never been taken into account by conventional LAS detectors when calculating the maximum-likelihood decoding metric. As a result, the bit error rate performance of LAS detectors can be significantly degraded. This study proposes robust LAS detectors which take channel estimation errors into account in the computation of the ML decoding metric. The proposed approach involves the computation of the equivalent noise covariance matrix inverse, which may increases the computational complexity. Therefore, the authors also propose a low complexity method to inverse the covariance matrix. Simulation results show that the proposed schemes outperform the conventional LAS detector.
Starting Page	1297
Ending Page	1303
Page Count	7
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 9, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/9
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5783
Journal	IET Communications
Publisher Date	2019-02-28
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bit Error Rate Performance Channel Estimation Channel Estimation Error Code Communication Channel Equalisation And Identification Computational Complexity Conventional LAS Detector Covariance Matrices Error Statistics Imperfect Channel State Information LAS Detector Design Likelihood Ascent Search Detector Low Complexity Method Massive Multiple-input Multiple-output System Maximum Likelihood Decoding Maximum Likelihood Detection Maximum Likelihood Estimation Maximum-likelihood Decoding Metric MIMO Communication MIMO System Neighbourhood Search Algorithm Perfect Channel State Information Radio Link And Equipment Robust LAS Detector Statistics
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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