Multi-Dimensional Spread Target Detection with Across Range-Doppler Unit Phenomenon Based on Generalized Radon-Fourier Transform

Author:

Wang Guanxing12,Wei Yangkai123,Ding Zegang123,You Pengjie4,Liu Siyuan5,Zhang Tianyi123

Affiliation:

1. Radar Research Laboratory, School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

2. Beijing Key Laboratory of Embedded Real-Time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China

3. Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401120, China

4. The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China

5. Beijing Institute of Electronic System Engineering, Beijing 100039, China

Abstract

Severe phenomena of across range-Doppler unit (ARDU) and decoherence occur when radar detects high-speed and high-maneuvering targets, causing degradation in detection performance of traditional FFT radar detection methods. The improvement in radar resolution causes a multi-dimensional spread phenomenon, where different scattering centers of the target are distributed on different range units, along with motion parameters such as velocity and acceleration. Unfortunately, current radar detection methods focus solely on range spread targets and cannot handle multi-dimensional spread, leading to a significant decline in detection performance. To overcome this problem, this paper proposes several methods to achieve high detection performance for multi-dimensional spread target detection with ARDU phenomenon. Firstly, the generalized likelihood ratio test (GLRT) is derived, and the energy integration generalized Rayleigh Fourier transform (EI-GRFT) is introduced to improve the detection performance of range spread cross-unit targets. Additionally, the double-threshold based hybrid GRFT (DT-HGRFT) is presented as an enhancement of EI-GRFT, enabling long-time integration along slow time and integration among multiple scatters by using HGRFT and multi-dimensional sliding double-threshold detection, respectively. Furthermore, a method for joint detections of multiple DT-HGRFTs is provided to handle the case where the number of scattering centers of multi-dimensional spread targets is unknown. Finally, a detailed theoretical analysis of the performance of the proposed method is presented, along with extensive simulations and practical experiments to demonstrate the effectiveness of the proposed methods.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference54 articles.

1. Qian, L.C. (2013). Research on Radar Target Detection Algorithm Based on Long Time Coherent Integration. [Ph.D. Thesis, Air Force Early Warning Academy].

2. Zhou, X. (2018). Research on Key Technologies of Radar Detection for High-Speed and High-Mobility Stealth Targets. [Ph.D. Thesis, Beijing Institute of Technology].

3. Richards, M.A. (2014). Fundamentals of Radar Signal Processing, MCGraw-Hill Education. [2nd ed.].

4. Radon-Fourier Transform for Radar Target Detection (II): Blind Speed Sidelobe Suppression;Xu;IEEE Trans. Aerosp. Electron. Syst.,2011

5. Radon-Fourier Transform for Radar Target Detection (III): Optimality and Fast Implementations;Yu;IEEE Trans. Aerosp. Electron. Syst.,2012

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