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Wireless Personal Communications

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12-08-2017

Low Complexity Linear Channel Estimation for MIMO Communication Systems

Authors: Hasan Raza, Noor M. Khan

Published in: Wireless Personal Communications | Issue 4/2017

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Abstract

Channel estimation is employed to get the current knowledge of channel states for an optimum detection in fading environments. In this paper, a new recursive multiple input multiple output (MIMO) channel estimation is proposed which is based on the recursive least square solution. The proposed recursive algorithm utilizes short training sequence on one hand and requires low computational complexity on the other hand. The algorithm is evaluated on a MIMO communication system through simulations. It is realized that the proposed algorithm provides fast convergence as compared to recursive least square (RLS) and robust variable forgetting factor RLS (RVFF-RLS) adaptive algorithms while utilizing lesser computational cost and provides independency on forgetting factor.

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Title: Low Complexity Linear Channel Estimation for MIMO Communication Systems
Authors: Hasan Raza
Noor M. Khan
Publication date: 12-08-2017
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 4/2017
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-017-4763-5

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