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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Detection and SISAR Imaging of Aircrafts Using GNSS Forward Scatter Radar: Signal Modeling and Experimental Validation
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Detection and SISAR Imaging of Aircrafts Using GNSS Forward Scatter Radar: Signal Modeling and Experimental Validation

机译:GNSS前向散射雷达对飞机的检测和SISAR成像:信号建模和实验验证

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摘要

The use of satellite signals for passive radar detection has become quite attractive in the recent years. This paper focuses on the detection and the shadow inverse forward scatter radar (SISAR) imaging of aircrafts in the passive forward scatter radar (FSR) system using global navigation satellite system (GNSS) satellites as illuminators of opportunity. The signal model derived from GNSS tracking loop is given and its Doppler character is analyzed. Then, by comparing GNSS FSR and ground-based FSR, the SISAR signal model and the imaging method for GNSS FSR are constructed. Experiments using airliners as targets were carried out, in which forward scattering signals of both GPS satellites and BeiDou satellites were captured. The experimental results verified the correctness of the given model as well as the effectiveness of the novel imaging method.
机译:近年来,将卫星信号用于无源雷达检测已经变得非常有吸引力。本文重点研究了使用全球导航卫星系统(GNSS)卫星作为机会照明器的无源前向散射雷达(FSR)系统中飞机的阴影逆向向前散射雷达(SISAR)成像。给出了从GNSS跟踪环路导出的信号模型,并分析了其多普勒特性。然后,通过比较GNSS FSR和地面FSR,构建了SISAR信号模型和GNSS FSR的成像方法。进行了以客机为目标的实验,捕获了GPS卫星和北斗卫星的前向散射信号。实验结果验证了给定模型的正确性以及新颖成像方法的有效性。

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