Single-satellite location of ground electromagnetic interferer exploiting Doppler signatures
Zhang, Yimin D. Ding, Yanwu Pham, Khanh D. Shen, Dan Chen, Genshe
Zhang, Yimin D.
Ding, Yanwu
Pham, Khanh D.
Shen, Dan
Chen, Genshe
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Time Period
Advisors
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Digitization Date
Issue Date
2024
Type
Conference paper
Genre
Keywords
Location awareness,Satellites,Electromagnetic interference,Data integration,Quality of service,Complexity theory,High dynamic range,Doppler effect,Iterative methods,Satellite communications
Subjects (LCSH)
Citation
Y. D. Zhang, Y. Ding, K. Pham, D. Shen and G. Chen, "Single-Satellite Location of Ground Electromagnetic Interferer Exploiting Doppler Signatures," 2024 58th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, 2024, pp. 1109-1113, doi: 10.1109/IEEECONF60004.2024.10942807.
Abstract
We consider the single-satellite, single-pass localization of ground electromagnetic interference (EMI) sources to protect the quality of service in satellite communications. For a stationary EMI source, the analysis of the time-varying Doppler signature caused by satellite motion provides valuable information for its localization. Due to the high-speed motion of the satellite, the instantaneous Doppler frequency exhibits a high dynamic range and significant nonlinearity. To address this, we previously developed a knowledge-aided signal stationarization approach using the concept of virtual ground references (VGR), thereby enabling a reduced sampling rate, extended coherent processing time, and improved EMI detectability and accuracy. In this paper, we propose several extended approaches, including simplified multi-VGR data fusion as well as iterative and sequential EMI localization methods, to further enhance EMI localization performance while reducing processing complexity.
Table of Contents
Description
Date of Conference: 27-30 October 2024
Date Added to IEEE Xplore: 04 April 2025
Conference Location: Pacific Grove, CA, USA
Funding Agency: 10.13039/100006602-Air Force Research Laboratory (AFRL) (Grant Number: FA9453-22-C-A127)
Conference Location: Pacific Grove, CA, USA
Funding Agency: 10.13039/100006602-Air Force Research Laboratory (AFRL) (Grant Number: FA9453-22-C-A127)
Publisher
IEEE
Journal
Book Title
Series
2024 58th Asilomar Conference on Signals, Systems, and Computers
Digital Collection
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PubMed ID
ISSN
2576-2303
1058-6393
1058-6393