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An Adaptive Iterative Detection and Decoding Algorithm for MIMO Systems
MIMO系统中一种自适应的迭代检测译码算法

Keywords: List Sphere Decoding (LSD),MAP detection,Metric
列表球形译码
,最大后验概率检测,度量,MIMO,Systems,系统,自适应,迭代检测,译码算法,Algorithm,Decoding,Detection,Iterative,复杂度,接收机,前提,性能损失,仿真,重复检测,符号序列,结合,操作,变化,迭代次数

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Abstract:

To further reduce the redundancy of the existing non-exhaustive list MAP detection algorithms, which is induced by defining a fixed and large list size, an Adaptive Size List Sphere Decoding (ASLSD) algorithm is proposed. Through updating radius and setting stop criterion, the resulted detection list has a variable length which is adaptive with the SNR and the iteration. Moreover, by combining LSD with a list, the repeated detection with different radius is avoided. Simulation shows that with slight loss in performance, the proposed algorithm leads to a much shortened detection list, which means a simplified receiver.

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