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
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
收藏
页码:45 / 52
页数:8
相关论文
共 50 条
  • [31] Toward Real-Time, Remote Observations of the Coastal Wind Resource Using High-Frequency Radar
    Kirincich, Anthony
    MARINE TECHNOLOGY SOCIETY JOURNAL, 2013, 47 (04) : 206 - 217
  • [32] Ship detection and tracking using high frequency surface wave radar
    Blake, TM
    SEVENTH INTERNATIONAL CONFERENCE ON HF RADIO SYSTEMS AND TECHNIQUES, 1997, (441): : 291 - 295
  • [33] GPU-Based Real-Time Distributed Dynamic Strain Sensing in Optical Frequency Domain Reflectometry
    Wang, Chenhuan
    Liu, Kun
    Ding, Zhenyang
    Li, Yuanyao
    Zhu, Dongfang
    Pan, Ming
    Chen, Zeen
    Guo, Haohan
    Li, Sheng
    Jiang, Junfeng
    Yu, Yin
    Liu, Tiegen
    IEEE SENSORS JOURNAL, 2021, 21 (21) : 24166 - 24176
  • [34] Real-time implementation of an adaptive simultaneous dynamic range compression and local contrast enhancement algorithm on a GPU
    Tsai, Chi-Yi
    Huang, Chih-Hung
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2019, 16 (02) : 321 - 337
  • [35] Real-Time Implementation of SAR Algorithm using a Network of Signal Processors
    Misiurewicz, Jacek
    Malanowski, Mateusz
    Kulpa, Krzysztof
    2008 PROCEEDINGS INTERNATIONAL RADAR SYMPOSIUM, 2008, : 198 - 201
  • [36] Real-time optical flow processing on embedded GPU: an hardware-aware algorithm to implementation strategy
    Seznec, Mickael
    Gac, Nicolas
    Orieux, Francois
    Naik, Alvin Sashala
    JOURNAL OF REAL-TIME IMAGE PROCESSING, 2022, 19 (02) : 317 - 329
  • [37] Real-time implementation of an adaptive simultaneous dynamic range compression and local contrast enhancement algorithm on a GPU
    Chi-Yi Tsai
    Chih-Hung Huang
    Journal of Real-Time Image Processing, 2019, 16 : 321 - 337
  • [38] Real-time optical flow processing on embedded GPU: an hardware-aware algorithm to implementation strategy
    Mickaël Seznec
    Nicolas Gac
    François Orieux
    Alvin Sashala Naik
    Journal of Real-Time Image Processing, 2022, 19 : 317 - 329
  • [39] Ultra-High-Frequency Love Surface Acoustic Wave Device for Real-Time Sensing Applications
    Greco, Gina
    Agostini, Matted
    Cecchini, Marco
    IEEE ACCESS, 2020, 8 : 112507 - 112514
  • [40] A real-time stereo rectification of high definition image stream using GPU
    Shete, Pritam Prakash
    Sarode, Dinesh Madhukar
    Bose, Surojit Kumar
    2014 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2014, : 158 - 162