Signal Model and Influence Analysis of Spaceborne SAR Images in the Presence of Mutual Terrain-Scattered Interference

Huanyu Sun, Mingliang Tao, Yanyang Liu, Jia Su, Ling Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Since the development of satellite technology and limited spectrum resources, more and more spaceborne synthetic aperture radar (SAR) systems share the same frequency band. For this reason, a new form of radio frequency interference (RFI), i.e., mutual terrain scattering interference (MTSI), will be occurred between different spaceborne SARs in the case of overlapping time, space, and frequency, seriously degrading the imaging quality. This paper investigates the signal model and impact of spaceborne SAR images in the presence of MTSI. We first established a geometric model of the interference propagation path, from which the mechanism of interference is analyzed, and derive the signal model and energy of echoes. Then, simulated experiments using RADARSAT images are provided to illustrate the relationship between various radar parameters and resulting interference artifacts, which could be beneficial for interference identification and mitigation.

Original languageEnglish
Title of host publication2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9789463968096
DOIs
StatePublished - 2023
Event35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023 - Sapporo, Japan
Duration: 19 Aug 202326 Aug 2023

Publication series

Name2023 35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023

Conference

Conference35th General Assembly and Scientific Symposium of the International Union of Radio Science, URSI GASS 2023
Country/TerritoryJapan
CitySapporo
Period19/08/2326/08/23

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