Paper
7 December 2023 Radar target recognition SOC system based on HRRP
Xiaoqing Ma, Baohua Sun, Hongxuan Ren, Qiang Xue, Jiang Wu, Tong Jiang
Author Affiliations +
Proceedings Volume 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023); 1294136 (2023) https://doi.org/10.1117/12.3011987
Event: Third International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 203), 2023, Yinchuan, China
Abstract
Radar target recognition technology is the intersection of radar technology and pattern recognition. It is a technique to extract the information and features related to the target characteristic from the High-Resolution Range Profile (HRRP) and to judge the target attribute. Due to the complexity of radar target recognition algorithm and large amount of data, most of the current research is still focused on algorithm, and few can be implemented on hardware. With the development of microelectronics, System on Chip (SoC) has been widely used. Its powerful data processing capability makes it possible to realize the hardware implementation of radar target recognition. This paper mainly introduces the methods of feature extraction and classifier, and then implements a complete radar target recognition system based on the hardware platform of RF-SOC chip. Experiments show that the classification accuracy of ground targets such as tanks, radar stations and armored vehicles is over 80%.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaoqing Ma, Baohua Sun, Hongxuan Ren, Qiang Xue, Jiang Wu, and Tong Jiang "Radar target recognition SOC system based on HRRP", Proc. SPIE 12941, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023), 1294136 (7 December 2023); https://doi.org/10.1117/12.3011987
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KEYWORDS
Target recognition

Radar

Education and training

Feature extraction

Detection and tracking algorithms

Design and modelling

Library classification systems

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