Blind Doppler Estimation for MPSK-Based Electromagnetic Interferences
Ding, Yanwu Pham, Khanh D. Shen, Dan Chen, Genshe Zhang, Yimin D.
Ding, Yanwu
Pham, Khanh D.
Shen, Dan
Chen, Genshe
Zhang, Yimin D.
Citations
Altmetric:
Other Names
Location
Time Period
Advisors
Original Date
Digitization Date
Issue Date
2023
Type
Conference paper
Genre
Keywords
Subjects (LCSH)
Citation
Ding, Y., Pham, K., Shen, D., Chen, G., Zhang, Y.D. Blind Doppler Estimation for MPSK-Based Electromagnetic Interferences. (2023). Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 1719-1723. DOI: 10.1109/IEEECONF59524.2023.10476896
Abstract
Geolocation of electromagnetic interference (EMI) is a critical mission for uninterrupted satellite op-eration. One of the useful methods for this purpose is based on the analysis of the EMI Doppler signatures. Because of high-speed motions and complicated orbits of satellites, the Doppler frequencies are time-varying with higher-order phase trajectories. In this paper, we segment the Doppler signals into periodical short time periods and, by modeling the Doppler signature in each short time period as a linear frequency modulated (LFM) waveform, perform Doppler signature analysis using the short-time Fourier transform (STFT). Such approach is robust to EMI when its waveform is an unknown M-ary phase shift keying (MPSK) signal. Furthermore, noticing that such approach suffers from frequent outliers at low signal-to-noise ratio (SNR) scenarios, we develop an outlier suppression scheme to achieve enhanced Doppler estimation. © 2023 IEEE.
Table of Contents
Description
Publisher
IEEE Computer Society
Journal
Book Title
Series
Conference Record - Asilomar Conference on Signals, Systems and Computers. 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
29 October 2023 through 1 November 2023
29 October 2023 through 1 November 2023
Digital Collection
Finding Aid URL
Use and Reproduction
Archival Collection
PubMed ID
ISSN
1058-6393