GPU-Accelerated Signal Processing for Passive Bistatic Radar

被引:1
作者
Zhao, Xinyu [1 ]
Liu, Peng [1 ]
Wang, Bingnan [2 ]
Jin, Yaqiu [1 ]
机构
[1] Fudan Univ, Key Lab Informat Sci Electromagnet Waves MoE, Shanghai 200433, Peoples R China
[2] Chinese Acad Sci, Aerosp Informat Res Inst, Natl Key Lab Microwave Imaging Technol, Beijing 100094, Peoples R China
基金
中国国家自然科学基金;
关键词
passive bistatic radar; signal processing; GPU parallel computing; CUDA; ALGORITHM; COMMUNICATION; RANGE;
D O I
10.3390/rs15225421
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Passive bistatic radar is a novel radar technology that passively detects targets without actively emitting signals. Since passive bistatic radar entails larger data volumes and computations compared to traditional active radiation radar, the development of hardware and software platforms capable of efficiently processing signals from passive bistatic radar has emerged as a research focus in this field. This research investigates the signal processing flow of passive bistatic radar based on its characteristics and devises a parallel signal processing scheme under graphic processing unit (GPU) architecture for computation-intensive tasks. The proposed scheme utilizes high-computing-power GPU as the hardware platform and compute unified device architecture (CUDA) as the software platform and optimizes the extensive cancellation algorithm batches (ECA-B), range Doppler and constant false alarm detection algorithms. The detection and tracking of a single target are realized on the passive bistatic radar dataset of natural scenarios, and experiments show that the design of this algorithm can achieve a maximum acceleration ratio of 113.13. Comparative experiments conducted with varying data volumes revealed that this method significantly enhances the signal processing rate for passive bistatic radar.
引用
收藏
页数:15
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