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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:Yang Wang,Dan-Feng Zhao,Xi Liao.Iterative Detection and Decoding Algorithm in Dual Polarized Land Mobile Satellite MIMO Systems[J].Journal of Harbin Institute Of Technology(New Series),2014,(2):28-32.DOI:10.11916/j.issn.1005-9113.2014.02.005.
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Iterative Detection and Decoding Algorithm in Dual Polarized Land Mobile Satellite MIMO Systems
Author NameAffiliation
Yang Wang College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China 
Dan-Feng Zhao College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China 
Xi Liao College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China 
Abstract:
An iterative detection and decoding algorithm with outer code decision feedback is proposed for the dual polarized (DP) land mobile satellite (LMS) MIMO systems using concatenated codes. A feedback structure is added after the outer decoder in the proposed algorithm. The feedback information is exploited to control the detecting list in the MIMO detector and reduce the number of symbols which have to be processed at each iteration. As a result, the computational complexity is reduced. Meanwhile, the successfully decoded outer code words are used to calculate the more reliable initial information for the inner decoder and the system performance can be improved by this step. The simulation results show that the proposed algorithm can reduce the computational complexity compared to the traditional iterative detection and decoding algorithm and achieve better performance.
Key words:  satellite communications  multiple-input multiple-output (MIMO)  dual polarization  iterative detection and decoding
DOI：10.11916/j.issn.1005-9113.2014.02.005
Clc Number:TN927.2
Fund:

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