Research Article | OPEN ACCESS
Dual Turbo MIMO-OFDM Channel Estimation Based on Puncher Technique via UWA Channels
Gang Qiao, Wei Wang, Rehan Khan, Yue Wang and Songzuo Liu
Science and Technology on Underwater Acoustic Laboratory, Harbin Engineering University, Harbin, China
Research Journal of Applied Sciences, Engineering and Technology 2013 5:1599-1607
Received: July 17, 2012 | Accepted: August 17, 2012 | Published: February 11, 2013
Abstract
In this study, various techniques of UWA (Underwater Acoustic, UWA) channel estimation for underwater MIMO-OFDM system are studied. Dual turbo channel estimation algorithm based on channel puncture technique is proposed. In order to judge the criteria of channel compensation, difference between the raw received signal and the re-coded information signal is carried out. The uncertain sub-channels are punched by using channel puncture technique and replaced by the responses estimated by MMSE (Minimum Mean Square Error, MMSE) or OMP (Orthogonal Matching Pursuit, OMP) algorithms. Compared with the conventional existing algorithms, the proposed algorithm can effectively reduce the occupancy of pilots, offer confined error propagation and significantly increase the stability of the system with Monte Caro simulation. The results of in-tank-experiment further indorse the reliable performance with improved efficiency of 1.51 bits/s/Hz.
Keywords:
Dual turbo channel estimation, MIMO-OFDM, MMSE, OMP, puncture technique, underwater acoustic channel,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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