Research of Improved Sphere Decoding Algorithm

Xiao Jun, Guan Diyuan, Wang Zengye
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引用次数: 1

Abstract

Multiple-Input Multiple-Output (MIMO) sets up multiple antennas at the transmitting and receiving terminals respectively and makes full use of the space characteristic of the channel, and realizes the transmission and reception of the multiple data streams in the same frequency band and the same time. And MIMO is one of the key technologies in the new generation wireless mobile communication system. This paper firstly analyzes the sphere decoding algorithm which is widely studied in the MIMO system in recent years, and the two traditional algorithm of the sphere decoding algorithm are researched, VB algorithm and CL algorithm. Then an improved sphere decoding algorithm based on the CL algorithm id proposed. The improved sphere decoding algorithm firstly rearranges the channel matrix, and then the idea of radius iteration is introduced, which establishes a new radius updating formula in order to reduce the computing complexity of the algorithm. The simulation experiments show that compared with the traditional sphere decoding algorithm, the improved sphere decoding algorithm reduces the complexity without causing significant performance losses.
改进球面解码算法的研究
多输入多输出(MIMO)在发射端和接收端分别设置多个天线,充分利用信道的空间特性,实现同一频段、同一时间的多个数据流的发送和接收。MIMO是新一代无线移动通信系统的关键技术之一。本文首先分析了近年来在MIMO系统中被广泛研究的球面译码算法,并对球面译码算法中的两种传统算法VB算法和CL算法进行了研究。在此基础上提出了一种改进的球面解码算法。改进的球面译码算法首先对信道矩阵进行重新排列,然后引入半径迭代的思想,建立了新的半径更新公式,以降低算法的计算复杂度。仿真实验表明,与传统的球面译码算法相比,改进的球面译码算法在不造成明显性能损失的情况下降低了译码复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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