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

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

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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.

passive bistatic radarunmanned aerial vehiclelong-time coherent integrationRadonmatched filtering process

Luo Zuo、Yuefei Yan、Jun Wang、Xin Sang、Yan Wang、Dongming Ge、Lihao Ping、Zhihai Wang、Congsi Wang

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Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China

National Laboratory of Radar Signal Processing, Xidian University, Xi'an, 710071, China

School of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China

Beijing Space Vehicle General Design Department, Beijing 100094, China

CETC Wuhu Diamond Aircraft Manufacturing Co., Ltd, Wuhu, Anhui 241000, China

CETC No. 38 Research Institute, Hefei 230088, China

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国家自然科学基金国家自然科学基金国家重点研发计划National Defense Basic Scientific Research Program of ChinaProject about Building up"Scientists+Engineers"of Shaanxi Qinchuangyuan PlatformWuhu and Xidian University Special Fund for Industry University Research Cooperation

51975447522752682021YFC2203600JCKY2021210B0072022KXJ-030XWYCXY012021-012

2024

10.15918/j.jbit1004-0579.2023.080

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
年,卷(期)：2024.33(1)
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