低信噪比下SD算法初始半径选择的改进方案

Jianping Li, Zhenguo Wang, Junli Deng, Yuning Zhang
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引用次数: 1

摘要

球面解码(SD)是一种有效的多输入多输出(MIMO)数字通信算法。结果表明,该方法可以在较低的复杂度下实现接近最大似然(ML)的性能。然而,在特定环境下,传统SD算法的复杂度较高。SD算法的性能和计算复杂度很大程度上取决于初始球半径的选择。因此,设计合适的SD初始半径格式以提高性能和降低计算复杂度是十分重要的。本文提出了一种基于统计概率知识和星座能量的初始半径方案。在低信噪比条件下,仿真结果表明,该方案采用了星群能量e因子,提高了算法性能和效率。与传统的SD算法相比,该算法可以达到节省运算时间的目的。同时,可以将与传统SD算法的性能差距限制在一定程度上。
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An improved scheme of initial radius selection in SD algorithm under the low SNR
Sphere decoding (SD) is an efficient algorithm for Multiple-input Multiple-output (MIMO) digital communications. It has been showed to achieve near Maximum Likelihood (ML) performance with low complexity. However, the complexity of conventional SD algorithm is high under the specific environment. The performance and the computation complexity of SD algorithm is highly dependent on the initial choice of sphere radius. Thus, it is important to design a proper initial radius scheme for SD which improve the performance and reduce the computation complexity. In this paper, we propose a novel scheme base on the knowledge of statistical probability and the constellation energy to design a new initial radius scheme. The performance and algorithmic efficiency of this scheme are increased by application of a factor constellation energy E. The simulation results show under the low signal-to-noise ratio (SNR) condition. The proposed scheme can achieve the aim that save more operation time than the conventional SD algorithm. At the same time, the performance gap compared to conventional SD algorithm can be restricted to a certain level.
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