LARGE SCALE CHARACTERIZATION OF RADIO FREQUENCY INTERFERENCE SIGNATURES IN L-BAND SAR

被引：0
|
作者：
Meyer, F. J. [1 ]
Nicoll, J. B. [1 ]
Koetschau, Ch. [1 ]
Doulgeris, A. P.
机构：
[1] Univ Alaska Fairbanks, Inst Geophys, Fairbanks, AK 99775 USA
来源：
2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2012年
关键词：
L-band; Synthetic Aperture Radar; Radio Frequency Interference; RFI SUPPRESSION;
D O I：
10.1109/IGARSS.2012.6351158
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Radio Frequency Interference (RFI) is a known issue of low-frequency Synthetic Aperture Radar (SAR) data. In this paper, a processing system is described that is successful in detecting, characterizing, and mitigating RFI signatures in data of the L-band SAR system ALOS PALSAR. An RFI analysis system that is integrated into the SAR processor is logging a wealth of RFI-related information that is used to map, characterize, and classify RFI signatures across large spatial scales. The concept of the RFI detection and mitigation algorithm is described, the RFI analysis concept is outlined, and examples of spatial RFI maps are shown.
引用
收藏
页码：1817 / 1820
页数：4
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