Paper Info
Title
An enhanced semi-blind channel estimation for MIMO-OFDM systems.
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.
Year
DOI
Venue
2016
10.1007/s11276-016-1201-7
Wireless Networks
Keywords
Field
DocType
Semi-blind channel estimation, OFDM, Least square and scaled LS, MIMO
Multipath propagation,MIMO-OFDM,Telecommunications,Computer science,MIMO,Communication channel,Electronic engineering,Precoding,Orthogonal frequency-division multiplexing,Distributed computing,Channel state information,Estimator
Journal
Volume
Issue
ISSN
22
6
1572-8196
Citations 
PageRank 
References 
0
0.34
3
Authors
4
Name
Order
Citations
PageRank
Gulomjon Sangirov100.34
Yongqing Fu200.34
M. Rakib Uddin321.74
Jamshid Sangirov400.68