Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying
Spaceborne radar sounders are high frequency (HF)/very high frequency (VHF) nadir-looking sensors devoted to subsurface investigations. Their data interpretation can be severely hindered by off-nadir surface clutter. Recent literature showed that the clutter suppression capabilities of this class of...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Online Access: | http://hdl.handle.net/11572/353002 https://doi.org/10.1109/TGRS.2022.3195644 https://ieeexplore.ieee.org/document/9846928 |
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ftutrentoiris:oai:iris.unitn.it:11572/353002 2024-02-11T10:04:23+01:00 Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying Carrer L. Thakur S. Sericati L. Bruzzone L. Carrer, L. Thakur, S. Sericati, L. Bruzzone, L. 2022 http://hdl.handle.net/11572/353002 https://doi.org/10.1109/TGRS.2022.3195644 https://ieeexplore.ieee.org/document/9846928 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000849262800004 volume:60 firstpage:511671301 lastpage:511671313 numberofpages:13 journal:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING http://hdl.handle.net/11572/353002 doi:10.1109/TGRS.2022.3195644 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85135738213 https://ieeexplore.ieee.org/document/9846928 info:eu-repo/semantics/closedAccess Cryosphere direction of arrival (DOA) distributed radar sounder formation flight radar sounder info:eu-repo/semantics/article 2022 ftutrentoiris https://doi.org/10.1109/TGRS.2022.3195644 2024-01-23T23:05:59Z Spaceborne radar sounders are high frequency (HF)/very high frequency (VHF) nadir-looking sensors devoted to subsurface investigations. Their data interpretation can be severely hindered by off-nadir surface clutter. Recent literature showed that the clutter suppression capabilities of this class of systems can be greatly enhanced by deploying an array of orbiting sensors in formation flight synthesizing a narrow radar antenna beam. In this article, we assess the capability of distributed radar sounding to discriminate clutter from subsurface returns by exploiting direction of arrival (DOA) estimation techniques. This is achieved by first outlining an approach for designing and evaluating the distributed radar sounder DOA estimation performance as function of the radar system parameters (e.g., intersensor distance) and external noise factors such as ionospheric scintillations. Then, the theory is complemented by radar simulations of several acquisitions over Greenland assuming a variety of subsurface geometries. The simulations confirm that clutter discrimination through DOA estimation is a viable approach to further improve the array capability in disambiguation of subsurface echoes from surface ones. Article in Journal/Newspaper Greenland Università degli Studi di Trento: CINECA IRIS Greenland IEEE Transactions on Geoscience and Remote Sensing 60 1 13 |
institution |
Open Polar |
collection |
Università degli Studi di Trento: CINECA IRIS |
op_collection_id |
ftutrentoiris |
language |
English |
topic |
Cryosphere direction of arrival (DOA) distributed radar sounder formation flight radar sounder |
spellingShingle |
Cryosphere direction of arrival (DOA) distributed radar sounder formation flight radar sounder Carrer L. Thakur S. Sericati L. Bruzzone L. Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying |
topic_facet |
Cryosphere direction of arrival (DOA) distributed radar sounder formation flight radar sounder |
description |
Spaceborne radar sounders are high frequency (HF)/very high frequency (VHF) nadir-looking sensors devoted to subsurface investigations. Their data interpretation can be severely hindered by off-nadir surface clutter. Recent literature showed that the clutter suppression capabilities of this class of systems can be greatly enhanced by deploying an array of orbiting sensors in formation flight synthesizing a narrow radar antenna beam. In this article, we assess the capability of distributed radar sounding to discriminate clutter from subsurface returns by exploiting direction of arrival (DOA) estimation techniques. This is achieved by first outlining an approach for designing and evaluating the distributed radar sounder DOA estimation performance as function of the radar system parameters (e.g., intersensor distance) and external noise factors such as ionospheric scintillations. Then, the theory is complemented by radar simulations of several acquisitions over Greenland assuming a variety of subsurface geometries. The simulations confirm that clutter discrimination through DOA estimation is a viable approach to further improve the array capability in disambiguation of subsurface echoes from surface ones. |
author2 |
Carrer, L. Thakur, S. Sericati, L. Bruzzone, L. |
format |
Article in Journal/Newspaper |
author |
Carrer L. Thakur S. Sericati L. Bruzzone L. |
author_facet |
Carrer L. Thakur S. Sericati L. Bruzzone L. |
author_sort |
Carrer L. |
title |
Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying |
title_short |
Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying |
title_full |
Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying |
title_fullStr |
Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying |
title_full_unstemmed |
Clutter Reduction by Estimation of Echoes Direction of Arrival in Distributed Radar Sounders in Formation Flying |
title_sort |
clutter reduction by estimation of echoes direction of arrival in distributed radar sounders in formation flying |
publishDate |
2022 |
url |
http://hdl.handle.net/11572/353002 https://doi.org/10.1109/TGRS.2022.3195644 https://ieeexplore.ieee.org/document/9846928 |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland |
genre_facet |
Greenland |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000849262800004 volume:60 firstpage:511671301 lastpage:511671313 numberofpages:13 journal:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING http://hdl.handle.net/11572/353002 doi:10.1109/TGRS.2022.3195644 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85135738213 https://ieeexplore.ieee.org/document/9846928 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1109/TGRS.2022.3195644 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
60 |
container_start_page |
1 |
op_container_end_page |
13 |
_version_ |
1790600973922598912 |