Intelligent detection and identification method of radar moving target

Ning Zhong; Qinglong Bao; Jiayi Yan

doi:10.1117/12.3006011

10 October 2023 Intelligent detection and identification method of radar moving target

Ning Zhong, Qinglong Bao, Jiayi Yan

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127994T (2023) https://doi.org/10.1117/12.3006011
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

According to the characteristics of Doppler frequency shift of radar moving target in the fast time dimension, this paper proposes an intelligent detection and identification method of radar moving target based on YOLO(you only look once)v5s. First, the dataset is constructed based on the received target echo signal, and then the echo data dimension is placed and converted into images. Finally, the data is input into YOLOv5s for training, and the detection and classification of radar moving targets are realized by learning the characteristics of moving target Doppler frequency shift. The simulation experiment shows that the detection method can realize the effective detection and identification of radar motion and stationary targets.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ning Zhong, Qinglong Bao, and Jiayi Yan "Intelligent detection and identification method of radar moving target", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127994T (10 October 2023); https://doi.org/10.1117/12.3006011

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KEYWORDS

Target detection

Radar sensor technology

Data modeling

Object detection

Education and training

Detection and tracking algorithms

Pulse signals

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