Iterative Detection and Decoding Algorithm in Dual Polarized Land Mobile Satellite MIMO Systems

来源 :Journal of Harbin Institute of Technology | 被引量 : 0次 | 上传用户:soiney
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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. 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. 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.
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