Long Time Integration for High Speed Target Detection Based on Radonkt-LVT

3rd International Conference on Aeronautical Materials and Aerospace Engineering

航空航天工程

Chen, Jie^1 ; Wu, Qi^1 ; Zhang, Yue^1 ; Chen, Zengping^1

National Key Laboratory of Science and Technology on ATR, College of Computer Science and Technology, National University of Defence Technology, Changsha

410073, China^1

关键词: Acceleration motions;    Computationally efficient;    Detection performance;    High-speed target detections;    Long time integrations;    One-dimensional search;    Parameters estimation;    Range cell migration;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/608/1/012006/pdf
DOI  :  10.1088/1757-899X/608/1/012006

学科分类：航空航天科学

来源: IOP

【 摘 要 】

In this paper, a computationally efficient long-time integration and parameters estimation method via Keystone transform(KT), Radon Transform(RT) and Lv's Transform(LVT) is proposed. Firstly, the KT-Radon is used to eliminate the range cell migration(RCM) of the echo after pulse compression, then using LVT to obtain the long-time integration and parameters estimation of high-speed target with acceleration motion. Compared with the GRFT algorithm, the proposed method only needs one dimensional search for range. Compared with the KT-FRFT algorithm, there is no need to search Doppler fold factor in this proposed method. So the proposed method doesn't suffer from huge computation cost and obtain a good tradeoff between the computational cost and detection performance in comparison with the above algorithms. Finally, several experiments are provided to demonstrate the effectiveness of RadonKT-LVT.