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标 题: A New Detection Approach for Radio Frequency Interferences Corrupting Airborne L-band SAR data
一种用于检测干扰空中L波段SAR数据的新型方法
作 者: Alessandro Di Vincenzo
Paolo Berardino
Stefano Perna
Antonio Natale
Carmen Esposito
Antonio De Maio
Riccardo Lanari
关键词: Synthetic aperture radar (SAR)  [合成孔径雷达(SAR)]
Radio frequency interferences (RFI)  [ 射频干扰(RFI)]
Frequency modulated continuous wave (FMCW)  [ 频率调制连续波(FMCW)]
出版年: 2023
文集名: 2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense 2023)
2023年IEEE国际国防与安全技术研讨会(TechDefense 2023)
会议名: 2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense 2023)
2023年IEEE国际国防与安全技术研讨会(TechDefense 2023)
届 次:
摘 要: Identification and mitigation of Radio Frequency Interference (RFI) corrupting airborne Synthetic Aperture Radar (SAR) data is addressed in this paper. In particular, an approach based on a two-step processing chain applied to the range-compressed (RC) SAR images is proposed and assessed to identify the RFI signals present in the data. Moreover, a simple RFI suppression procedure to be integrated in the SAR data focusing step, and based on the outputs of the presented detection strategy, is proposed as well. The overall approach is tested on real-world L-band SAR data acquired by the recently developed Italian airborne Multiband Interferometric and Polarimetric SAR (MIPS) system.

本文研究了识别和抑制射频干扰(RFI)对航空合成孔径雷达(SAR)数据造成的破坏。具体而言,提出了一种基于两步处理流程的方法,应用于压缩距离(RC)SAR图像,用于检测数据中存在的RFI信号,并对其进行了评估。此外,还提出了一种简单的RFI抑制方法,该方法可集成到SAR数据聚焦步骤中,其依据是上述检测策略的输出结果。整个方法在由意大利最新研发的航空多波段干涉与偏振SAR(MIPS)系统获取的真实L波段SAR数据上进行了测试。
中文内容为网络AI翻译,专业术语未必准确,仅供参考。

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