OPTIMIZATION OF ADAPTIVE DIRECT SIGNAL SUPPRESSION FOR SINGLE-CHANNEL PASSIVE RADAR SENSING

This thesis optimizes a previously developed direct signal suppression (DSS) algorithm for single-channel passive radar that uses radio-astronomical sources (e.g., the sun and Jupiter’s radio emissions) as ambient noises, as we first noted at the IGARSS 2023 IEEE Symposium. Such passive radars can b...

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Main Author: Lamprou, Athanasios
Other Authors: Smithtro, Christopher G., Peters, Sean T., Physics (PH), Space Systems Academic Group (SP)
Format: Thesis
Language:unknown
Published: Monterey, CA; Naval Postgraduate School 2023
Subjects:
Online Access:https://hdl.handle.net/10945/72563
id ftnavalpschool:oai:calhoun.nps.edu:10945/72563
record_format openpolar
spelling ftnavalpschool:oai:calhoun.nps.edu:10945/72563 2024-09-15T18:09:33+00:00 OPTIMIZATION OF ADAPTIVE DIRECT SIGNAL SUPPRESSION FOR SINGLE-CHANNEL PASSIVE RADAR SENSING Lamprou, Athanasios Smithtro, Christopher G. Peters, Sean T. Physics (PH), Space Systems Academic Group (SP) 2023-12 application/pdf https://hdl.handle.net/10945/72563 unknown Monterey, CA; Naval Postgraduate School 533, Applied Physics of Combat Systems, 364, Space Systems Operations (International) 39274 https://hdl.handle.net/10945/72563 Copyright is reserved by the copyright owner. space-based passive radar adaptive signal processing single channel direct signal suppression optimization of SNR Thesis 2023 ftnavalpschool 2024-06-28T03:27:55Z This thesis optimizes a previously developed direct signal suppression (DSS) algorithm for single-channel passive radar that uses radio-astronomical sources (e.g., the sun and Jupiter’s radio emissions) as ambient noises, as we first noted at the IGARSS 2023 IEEE Symposium. Such passive radars can be used in extreme environments such as polar regions to measure ice sheet thickness and space-based experiments as a low-resource solution. To optimize the DSS algorithm, we estimate the direct signal and perform Wiener deconvolution, focusing on echo peak power (α) and delay time (τ) in the impulse response function construction. Although only a minor increase in signal-to-noise ratio (SNR) was achieved compared to the previous approach, the results highlight the significant losses in SNR if the estimation of the phase (τ) is not accurate. On the other hand, the amplitude of the impulse response has a negligible impact on SNR compared to the correct phase estimation. The latter part of this thesis focuses on the Total Electron Content (TEC) of Earth’s ionosphere over Greenland and explores its variations across different timescales, including daily, yearly, and solar cycles. Based on these calculations, the phase difference and the time delay generated due to the TEC are presented. Significantly, the study evaluates the potential impact of inadequately accounting for TEC on the SNR of a space-based single-channel passive radar orbiting in a Low Earth Orbit (LEO) above Greenland. Approved for public release. Distribution is unlimited. Ipopliarhos, Hellenic Navy Thesis Greenland Ice Sheet Naval Postgraduate School: Calhoun
institution Open Polar
collection Naval Postgraduate School: Calhoun
op_collection_id ftnavalpschool
language unknown
topic space-based passive radar
adaptive signal processing
single channel direct signal suppression
optimization of SNR
spellingShingle space-based passive radar
adaptive signal processing
single channel direct signal suppression
optimization of SNR
Lamprou, Athanasios
OPTIMIZATION OF ADAPTIVE DIRECT SIGNAL SUPPRESSION FOR SINGLE-CHANNEL PASSIVE RADAR SENSING
topic_facet space-based passive radar
adaptive signal processing
single channel direct signal suppression
optimization of SNR
description This thesis optimizes a previously developed direct signal suppression (DSS) algorithm for single-channel passive radar that uses radio-astronomical sources (e.g., the sun and Jupiter’s radio emissions) as ambient noises, as we first noted at the IGARSS 2023 IEEE Symposium. Such passive radars can be used in extreme environments such as polar regions to measure ice sheet thickness and space-based experiments as a low-resource solution. To optimize the DSS algorithm, we estimate the direct signal and perform Wiener deconvolution, focusing on echo peak power (α) and delay time (τ) in the impulse response function construction. Although only a minor increase in signal-to-noise ratio (SNR) was achieved compared to the previous approach, the results highlight the significant losses in SNR if the estimation of the phase (τ) is not accurate. On the other hand, the amplitude of the impulse response has a negligible impact on SNR compared to the correct phase estimation. The latter part of this thesis focuses on the Total Electron Content (TEC) of Earth’s ionosphere over Greenland and explores its variations across different timescales, including daily, yearly, and solar cycles. Based on these calculations, the phase difference and the time delay generated due to the TEC are presented. Significantly, the study evaluates the potential impact of inadequately accounting for TEC on the SNR of a space-based single-channel passive radar orbiting in a Low Earth Orbit (LEO) above Greenland. Approved for public release. Distribution is unlimited. Ipopliarhos, Hellenic Navy
author2 Smithtro, Christopher G.
Peters, Sean T.
Physics (PH), Space Systems Academic Group (SP)
format Thesis
author Lamprou, Athanasios
author_facet Lamprou, Athanasios
author_sort Lamprou, Athanasios
title OPTIMIZATION OF ADAPTIVE DIRECT SIGNAL SUPPRESSION FOR SINGLE-CHANNEL PASSIVE RADAR SENSING
title_short OPTIMIZATION OF ADAPTIVE DIRECT SIGNAL SUPPRESSION FOR SINGLE-CHANNEL PASSIVE RADAR SENSING
title_full OPTIMIZATION OF ADAPTIVE DIRECT SIGNAL SUPPRESSION FOR SINGLE-CHANNEL PASSIVE RADAR SENSING
title_fullStr OPTIMIZATION OF ADAPTIVE DIRECT SIGNAL SUPPRESSION FOR SINGLE-CHANNEL PASSIVE RADAR SENSING
title_full_unstemmed OPTIMIZATION OF ADAPTIVE DIRECT SIGNAL SUPPRESSION FOR SINGLE-CHANNEL PASSIVE RADAR SENSING
title_sort optimization of adaptive direct signal suppression for single-channel passive radar sensing
publisher Monterey, CA; Naval Postgraduate School
publishDate 2023
url https://hdl.handle.net/10945/72563
genre Greenland
Ice Sheet
genre_facet Greenland
Ice Sheet
op_relation 533, Applied Physics of Combat Systems, 364, Space Systems Operations (International)
39274
https://hdl.handle.net/10945/72563
op_rights Copyright is reserved by the copyright owner.
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