Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR
The article proposes a methodology to perform azimuth focusing of spaceborne transmitter-stationary receiver bistatic synthetic aperture radar data across multiple along-track apertures to increase azimuth resolution. The procedure uses as input several azimuth apertures (continuous groups of range...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9200753/ |
| _version_ | 1819005230407221248 |
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| author | Filip Rosu Andrei Anghel Remus Cacoveanu Bjorn Rommen Mihai Datcu |
| author_facet | Filip Rosu Andrei Anghel Remus Cacoveanu Bjorn Rommen Mihai Datcu |
| author_sort | Filip Rosu |
| collection | DOAJ |
| description | The article proposes a methodology to perform azimuth focusing of spaceborne transmitter-stationary receiver bistatic synthetic aperture radar data across multiple along-track apertures to increase azimuth resolution. The procedure uses as input several azimuth apertures (continuous groups of range compressed pulses) from one or more satellite bursts and comprises the following stages: antenna pattern compensation, slow time resampling, reconstruction of missing azimuth samples between neighboring sets of pulses using an autoregressive (AR) model and back-projection focusing of the resulting multiaperture range image. A novel, highly efficient method is proposed to estimate the optimal order for the AR model. It differs from the traditional approach that uses the Akaike Information Criterion to directly estimate the order because the proposed method estimates the order indirectly by detecting the number of targets using principle component analysis. Spatial smoothing is used to obtain a full rank covariance matrix, whose eigenvalues are then analyzed using minimum description length. The optimal order is an integer multiple of the number of targets, which depends on signal-to-noise ratio. The approach is evaluated with real bistatic data acquired over an area of Bucharest city, Romania. |
| first_indexed | 2024-12-20T23:49:29Z |
| format | Article |
| id | doaj.art-8c60d40c7dcd4057bd05f79beffdbd81 |
| institution | Directory Open Access Journal |
| issn | 2151-1535 |
| language | English |
| last_indexed | 2024-12-20T23:49:29Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj.art-8c60d40c7dcd4057bd05f79beffdbd812022-12-21T19:22:52ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352020-01-01135823583210.1109/JSTARS.2020.30250589200753Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SARFilip Rosu0https://orcid.org/0000-0002-1354-5363Andrei Anghel1https://orcid.org/0000-0003-3875-3238Remus Cacoveanu2Bjorn Rommen3Mihai Datcu4https://orcid.org/0000-0002-3477-9687Research Centre of Spatial Information, CEOSpaceTech, University Politehnica Bucharest, Bucuresti, RomaniaResearch Centre of Spatial Information, CEOSpaceTech, University Politehnica Bucharest, Bucuresti, RomaniaEOS Electronic Systems, Bucharest, RomaniaEuropean Space Agency (ESA-ESTEC), Noordwijk, The NetherlandsRemote Sensing Technology Institute, German Aerospace Center (DLR), Wessling, GermanyThe article proposes a methodology to perform azimuth focusing of spaceborne transmitter-stationary receiver bistatic synthetic aperture radar data across multiple along-track apertures to increase azimuth resolution. The procedure uses as input several azimuth apertures (continuous groups of range compressed pulses) from one or more satellite bursts and comprises the following stages: antenna pattern compensation, slow time resampling, reconstruction of missing azimuth samples between neighboring sets of pulses using an autoregressive (AR) model and back-projection focusing of the resulting multiaperture range image. A novel, highly efficient method is proposed to estimate the optimal order for the AR model. It differs from the traditional approach that uses the Akaike Information Criterion to directly estimate the order because the proposed method estimates the order indirectly by detecting the number of targets using principle component analysis. Spatial smoothing is used to obtain a full rank covariance matrix, whose eigenvalues are then analyzed using minimum description length. The optimal order is an integer multiple of the number of targets, which depends on signal-to-noise ratio. The approach is evaluated with real bistatic data acquired over an area of Bucharest city, Romania.https://ieeexplore.ieee.org/document/9200753/Autoregressive (AR) modelbistatic synthetic aperture radar (SAR)focusingorder estimationsignal reconstruction |
| spellingShingle | Filip Rosu Andrei Anghel Remus Cacoveanu Bjorn Rommen Mihai Datcu Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Autoregressive (AR) model bistatic synthetic aperture radar (SAR) focusing order estimation signal reconstruction |
| title | Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR |
| title_full | Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR |
| title_fullStr | Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR |
| title_full_unstemmed | Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR |
| title_short | Multiaperture Focusing for Spaceborne Transmitter/Ground-Based Receiver Bistatic SAR |
| title_sort | multiaperture focusing for spaceborne transmitter x002f ground based receiver bistatic sar |
| topic | Autoregressive (AR) model bistatic synthetic aperture radar (SAR) focusing order estimation signal reconstruction |
| url | https://ieeexplore.ieee.org/document/9200753/ |
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