Parallel Implementation of SUMPLE Algorithm in Large-Scale Antenna Array

被引：0

作者：

Yan Di ^{[1
]}

Shuai Weiyi ^{[1
]}

Liu Peijie ^{[1
]}

Sun Ke ^{[2
]}

Li Xiaoyu ^{[2
]}

机构：

[1] Space Engn Univ, Dept Elect & Opt Engn, Beijing 101416, Peoples R China

[2] Beijing Aerosp Control Ctr, Beijing 102206, Peoples R China

来源：

COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, CSPS 2018, VOL II: SIGNAL PROCESSING | 2020年 / 516卷

关键词：

Antenna array; High-performance computing platform; Task decomposition; Data decomposition;

D O I：

10.1007/978-981-13-6504-1_53

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Digital signal processing on high-performance computing platform based on general-purpose processor is one of the development directions of software-defined radio, which provides a new idea for the signal combining of large-scale antenna array. In this paper, two parallel implementations of SUMPLE combined algorithm are proposed, which are multi-antenna-group method (MAGM) based on task decomposition principle and multi-signal-block method (MSBM) based on data decomposition principle. The processing capability and real-time performance of the two methods are analyzed in detail. Results show that MAGM is not suitable for the high-performance computing platform because of large and frequent data transmissions from central processing unit (CPU) to graphics processing unit (GPU). The traditional iterative method of SUMPLE cannot be applied to MSBM due to the dependencies among signal blocks.

引用

页码：433 / 439

页数：7

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