Real-Time Implementation of Joint Domain Localised Algorithm for High Frequency Surface Wave Radar Using GPU

被引：0

作者：

Zhang, Bowen ^{[1
]}

Zhang, Chang ^{[2
]}

Yao, Di ^{[3
]}

Zhang, Xin ^{[4
]}

机构：

[1] Harbin Inst Technol, Dept Elect & Informat Engn, Harbin 150001, Heilongjiang, Peoples R China

[2] Jiangsu Automat Res Inst JARI, Lianyungang 222000, Jiangsu, Peoples R China

[3] Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China

[4] Harbin Inst Technol, Songjiang Lab, Harbin 150001, Peoples R China

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2025年 / E108A卷 / 02期

基金：

中国国家自然科学基金;

关键词：

HFSWR; ionospheric clutter; JDL; GPU; PART; 1;

D O I：

10.1587/transfun.2023EAP1137

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The performance of target detection and tracking is primarily limited by ionospheric interference in High Frequency Surface Wave Radar (HFSWR). Joint Domain Localised (JDL) has been proved to be an effective algorithm for ionospheric clutter suppression in HFSWR. However, the implementation of JDL in the traditional CPU platform cannot afford the real-time requirement in HFSWR. With the help of the tremendous parallel computational horsepower in GPU, in this paper we investigate the real-time implementation of JDL algorithm for HFSWR using Graphics Processing Unit (GPU). We also perform a comparative analysis in terms of the performance using the CPU-based implementation and the GPU-based implementation. Experimental result shows that the GPU-based implementation accelerates the computation by over 24.72 times as compared to the CPU-based implementation which meets the real-time requirement of HFSWR.

引用

页码：45 / 52

页数：8