Very High Resolution Automotive SAR Imaging from Burst Data
This paper proposes a method for efficient and accurate removal of grating lobes in automotive Synthetic Aperture Radar (SAR) images. Grating lobes can indeed be mistaken as real targets, inducing in this way false alarms in the target detection procedure. Grating lobes are present whenever SAR focu...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-02-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/3/845 |
| _version_ | 1827759596319539200 |
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| author | Mattia Giovanni Polisano Marco Manzoni Stefano Tebaldini Andrea Monti-Guarnieri Claudio Maria Prati Ivan Russo |
| author_facet | Mattia Giovanni Polisano Marco Manzoni Stefano Tebaldini Andrea Monti-Guarnieri Claudio Maria Prati Ivan Russo |
| author_sort | Mattia Giovanni Polisano |
| collection | DOAJ |
| description | This paper proposes a method for efficient and accurate removal of grating lobes in automotive Synthetic Aperture Radar (SAR) images. Grating lobes can indeed be mistaken as real targets, inducing in this way false alarms in the target detection procedure. Grating lobes are present whenever SAR focusing is performed using data acquired on a non-continuous basis. This kind of acquisition is typical in the automotive scenario, where regulations do not allow for a continuous operation of the radar. Radar pulses are thus transmitted and received in bursts, leading to a spectrum of the signal containing gaps. We start by deriving a suitable reference frame in which SAR images are focused. It will be shown that working in this coordinate system is particularly convenient since it allows for a signal spectrum that is space-invariant and with spectral gaps described by a simple one-dimensional function. After an inter-burst calibration step, we exploit these spectral characteristics of the signal by implementing a compressive sensing algorithm aimed at removing grating lobes. The proposed approach is validated using real data acquired by an eight-channel automotive radar operating in burst mode at 77 GHz. Results demonstrate the practical possibility to process a synthetic aperture length as long as up to 2 m reaching in this way extremely fine angular resolutions. |
| first_indexed | 2024-03-11T09:27:55Z |
| format | Article |
| id | doaj.art-f7d93bcfa8984b14bef94149782fa746 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-11T09:27:55Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-f7d93bcfa8984b14bef94149782fa7462023-11-16T17:55:04ZengMDPI AGRemote Sensing2072-42922023-02-0115384510.3390/rs15030845Very High Resolution Automotive SAR Imaging from Burst DataMattia Giovanni Polisano0Marco Manzoni1Stefano Tebaldini2Andrea Monti-Guarnieri3Claudio Maria Prati4Ivan Russo5Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, ItalyDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, ItalyDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, ItalyDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, ItalyDepartment of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milan, ItalyHuawei Technologies Italia S.r.l., 20129 Segrate, ItalyThis paper proposes a method for efficient and accurate removal of grating lobes in automotive Synthetic Aperture Radar (SAR) images. Grating lobes can indeed be mistaken as real targets, inducing in this way false alarms in the target detection procedure. Grating lobes are present whenever SAR focusing is performed using data acquired on a non-continuous basis. This kind of acquisition is typical in the automotive scenario, where regulations do not allow for a continuous operation of the radar. Radar pulses are thus transmitted and received in bursts, leading to a spectrum of the signal containing gaps. We start by deriving a suitable reference frame in which SAR images are focused. It will be shown that working in this coordinate system is particularly convenient since it allows for a signal spectrum that is space-invariant and with spectral gaps described by a simple one-dimensional function. After an inter-burst calibration step, we exploit these spectral characteristics of the signal by implementing a compressive sensing algorithm aimed at removing grating lobes. The proposed approach is validated using real data acquired by an eight-channel automotive radar operating in burst mode at 77 GHz. Results demonstrate the practical possibility to process a synthetic aperture length as long as up to 2 m reaching in this way extremely fine angular resolutions.https://www.mdpi.com/2072-4292/15/3/845radarMIMOSARautomotivegrating lobes suppressioncompressive sensing |
| spellingShingle | Mattia Giovanni Polisano Marco Manzoni Stefano Tebaldini Andrea Monti-Guarnieri Claudio Maria Prati Ivan Russo Very High Resolution Automotive SAR Imaging from Burst Data Remote Sensing radar MIMO SAR automotive grating lobes suppression compressive sensing |
| title | Very High Resolution Automotive SAR Imaging from Burst Data |
| title_full | Very High Resolution Automotive SAR Imaging from Burst Data |
| title_fullStr | Very High Resolution Automotive SAR Imaging from Burst Data |
| title_full_unstemmed | Very High Resolution Automotive SAR Imaging from Burst Data |
| title_short | Very High Resolution Automotive SAR Imaging from Burst Data |
| title_sort | very high resolution automotive sar imaging from burst data |
| topic | radar MIMO SAR automotive grating lobes suppression compressive sensing |
| url | https://www.mdpi.com/2072-4292/15/3/845 |
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