Combined-Weight Sphere Decoder in Bad Channel

H Zhao, H. Long, Wenbo Wang
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引用次数: 4

Abstract

For BLAST system, the optimal ML detection is infeasible when antenna number and modulation level is high, there have been some attempts to find more efficient algorithm to replace ML detection, such as sphere decoding (SD). Whereas the bad channel with large condition number still aggravates the computation complexity of SD. In this paper, we firstly explain the reason why the condition number influences the performance and the complexity of detection algorithm. Secondly, an algorithm of combining weight at high layer is proposed for SD, aiming to reduce the probability of accessing into the high layer of the tree in the searching process of SD so as to decrease the complexity. According to whether the magnitude of condition number is distinguished or not, there are two types, i.e. the partially combined-weight SD and the fully combined weight SD. The simulation results prove that the proposed algorithm can cut down the complexity distinctly, even to more than 20% at low SNR and high condition number.
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坏信道组合权球解码器
对于BLAST系统来说,当天线数量和调制电平较高时,最优的ML检测是不可行的,已经有一些尝试寻找更有效的ML检测算法,如球面解码(SD)。而条件数较大的坏信道仍然会增加SD的计算复杂度。本文首先解释了条件数影响检测算法性能和复杂度的原因。其次,提出了一种SD的高层权值结合算法,旨在降低SD在搜索过程中进入树高层的概率,从而降低复杂度。根据是否区分条件数的大小,可分为部分组合权SD和完全组合权SD两种。仿真结果表明,在低信噪比和高条件数条件下,该算法能明显降低复杂度,复杂度可降低20%以上。
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