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Wireless Networks
Published in: Wireless Networks 6/2016

01-08-2016

An enhanced semi-blind channel estimation for MIMO-OFDM systems

Authors: Gulomjon Sangirov, Yongqing Fu, M. Rakib Uddin, Jamshid Sangirov

Published in: Wireless Networks | Issue 6/2016

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Abstract

In wireless communication an orthogonal frequency division multiplexing (OFDM) system is efficiently used in recent years. The OFDM method in wireless channels can create deep fades, as a result of multipath dispersive spreading. Thus, a channel state information is essential when coherent detection is involved in OFDM system. Therefore, in many coherent communication systems, a good channel estimation method is necessary for OFDM receiver design. And semi-blind channel estimation is one of these good channel estimation methods. Conventionally, a semi-blind channel estimation uses least square (LS) technique. In our paper, we applied the scaled least square (SLS) to enhance the performance of the semi-blind channel estimator. The SLS requires less knowledge of the channel second-order statistics and has improved performance than the LS technique. Simulation results show that the proposed SLS semi-blind channel estimation method enhances the performance reasonably than conventional semi-blind channel estimation.
previous article A robust energy efficient ant colony optimization routing algorithm for multi-hop ad hoc networks in MANETs

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Appendix
Available only for authorised users
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Metadata
Title
An enhanced semi-blind channel estimation for MIMO-OFDM systems
Authors
Gulomjon Sangirov
Yongqing Fu
M. Rakib Uddin
Jamshid Sangirov
Publication date
01-08-2016
Publisher
Springer US
Published in
Wireless Networks / Issue 6/2016
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-016-1201-7

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