Iterative Detection and Decoding Algorithm in Dual Polarized Land Mobile Satellite MIMO Systems
Yang Wang, Dan-Feng Zhao, 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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Iterative Detection and Decoding Algorithm in Dual Polarized Land Mobile Satellite MIMO Systems
本站小编 哈尔滨工业大学/2019-10-23
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