Detection of UAV Target Based on Continuous Radon Transform and Matched Filtering Process for Passive Bistatic Radar

Luo Zuo ¹Yuefei Yan ¹Jun Wang ²Xin Sang ¹Yan Wang ³Dongming Ge ⁴Lihao Ping ⁵Zhihai Wang ⁶Congsi Wang¹

扫码查看

作者信息

1. Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China
2. National Laboratory of Radar Signal Processing, Xidian University, Xi'an, 710071, China
3. School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
4. Beijing Space Vehicle General Design Department, Beijing 100094, China
5. CETC Wuhu Diamond Aircraft Manufacturing Co., Ltd, Wuhu, Anhui 241000, China
6. CETC No. 38 Research Institute, Hefei 230088, China
折叠

Abstract

Long-time integration technique is an effective way of improving target detection performance for unmanned aerial vehicle (UAV) in the passive bistatic radar (PBR), while range migration (RM) and Doppler frequency migration (DFM) may have a major effect due to the target maneuverability. This paper proposed an innovative long-time coherent integration approach, regarded as Continuous Radon-matched filtering process (CRMFP), for low-observable UAV tar-get in passive bistatic radar. It not only mitigates the RM by collaborative research in range and velocity dimensions but also compensates the DFM and ensures the coherent integration through the matched filtering process (MFP). Numerical and real-life data following detailed analysis verify that the proposed method can overcome the Doppler mismatch influence and acquire comparable detection performance.

Key words

passive bistatic radar/unmanned aerial vehicle/long-time coherent integration/Radonmatched filtering process

引用本文复制引用

基金项目

国家自然科学基金(51975447)

国家自然科学基金(52275268)

国家重点研发计划(2021YFC2203600)

National Defense Basic Scientific Research Program of China(JCKY2021210B007)

Project about Building up"Scientists+Engineers"of Shaanxi Qinchuangyuan Platform(2022KXJ-030)

Wuhu and Xidian University Special Fund for Industry University Research Cooperation(XWYCXY012021-012)

出版年

2024

北京理工大学学报(英文版)

北京理工大学

北京理工大学学报(英文版)

影响因子：0.168

ISSN：1004-0579

参考文献量15

段落导航