Data-Driven Motion Compensation for Airborne Bistatic SAR Imagery Under Fast Factorized Back Projection Framework
Due to the independence of azimuth invariance and high implementing efficiency, a fast time-domain algorithm has significant advantages for airborne bistatic synthetic aperture radar (BiSAR) data process with general geometric configuration. In this article, the practical problem of unexpected motio...
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| Veröffentlicht in: | IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.1728-1740 |
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| creator | Bao, Min Zhou, Song Yang, Lei Xing, Mengdao Zhao, Lifan |
| description | Due to the independence of azimuth invariance and high implementing efficiency, a fast time-domain algorithm has significant advantages for airborne bistatic synthetic aperture radar (BiSAR) data process with general geometric configuration. In this article, the practical problem of unexpected motion errors of the airborne platform is carefully analyzed under a fast factorized back-projection (FFBP) framework for a general BiSAR process and a coherent data-driven motion compensation (MOCO) algorithm integrated with FFBP is proposed. By utilizing wavenumber decomposition, the analytical spectrum of a polar grid image is obtained where the motion error can be conveniently investigated in image spectrum domain and the coherence between azimuthal phase error (APE) and motion-induced nonsystematic range cell migration (NsRCM) can be perfectly revealed. Then, a new data-driven MOCO method for both APE and NsRCM correction is developed with the FFBP process. Different from the data-driven MOCO in most frequency-domain algorithms, the residual NsRCM introduced by the FFBP process is particularly analyzed and addressed in the MOCO, which significantly improves the image quality in focusing. Promising results from both simulation and raw data experiments are presented and analyzed to validate the advantages of the proposed algorithm for the airborne BiSAR process. |
| doi_str_mv | 10.1109/JSTARS.2020.3002394 |
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In this article, the practical problem of unexpected motion errors of the airborne platform is carefully analyzed under a fast factorized back-projection (FFBP) framework for a general BiSAR process and a coherent data-driven motion compensation (MOCO) algorithm integrated with FFBP is proposed. By utilizing wavenumber decomposition, the analytical spectrum of a polar grid image is obtained where the motion error can be conveniently investigated in image spectrum domain and the coherence between azimuthal phase error (APE) and motion-induced nonsystematic range cell migration (NsRCM) can be perfectly revealed. Then, a new data-driven MOCO method for both APE and NsRCM correction is developed with the FFBP process. Different from the data-driven MOCO in most frequency-domain algorithms, the residual NsRCM introduced by the FFBP process is particularly analyzed and addressed in the MOCO, which significantly improves the image quality in focusing. Promising results from both simulation and raw data experiments are presented and analyzed to validate the advantages of the proposed algorithm for the airborne BiSAR process.</description><identifier>ISSN: 1939-1404</identifier><identifier>EISSN: 2151-1535</identifier><identifier>DOI: 10.1109/JSTARS.2020.3002394</identifier><identifier>CODEN: IJSTHZ</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Airborne radar ; Airborne remote sensing ; Algorithms ; Azimuth ; Bistatic synthetic aperture radar (BiSAR) ; Cell adhesion & migration ; Cell migration ; Compensation ; Data ; Error analysis ; fast factorized back projection (FFBP) ; Focusing ; Geometry ; Image quality ; Imagery ; Motion compensation ; motion compensation (MOCO) ; Movement ; nonsystematic range cell migration (NsRCM) ; Phase error ; Remote sensing ; SAR (radar) ; Signal processing algorithms ; Synthetic aperture radar ; Trajectory ; Wavelengths</subject><ispartof>IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.1728-1740</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Promising results from both simulation and raw data experiments are presented and analyzed to validate the advantages of the proposed algorithm for the airborne BiSAR process.</description><subject>Airborne radar</subject><subject>Airborne remote sensing</subject><subject>Algorithms</subject><subject>Azimuth</subject><subject>Bistatic synthetic aperture radar (BiSAR)</subject><subject>Cell adhesion & migration</subject><subject>Cell migration</subject><subject>Compensation</subject><subject>Data</subject><subject>Error analysis</subject><subject>fast factorized back projection (FFBP)</subject><subject>Focusing</subject><subject>Geometry</subject><subject>Image quality</subject><subject>Imagery</subject><subject>Motion compensation</subject><subject>motion compensation (MOCO)</subject><subject>Movement</subject><subject>nonsystematic range cell migration (NsRCM)</subject><subject>Phase error</subject><subject>Remote sensing</subject><subject>SAR (radar)</subject><subject>Signal processing algorithms</subject><subject>Synthetic aperture radar</subject><subject>Trajectory</subject><subject>Wavelengths</subject><issn>1939-1404</issn><issn>2151-1535</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNo9kU1PGzEQhq2qlZpSfgEXS5w39efaPoZASiqqIgJna3Z3jDaQdbCXVvDra7KIy4xmNO8zM3oJOeFszjlzP35tbhc3m7lggs0lY0I69YnMBNe84lrqz2TGnXQVV0x9Jd9y3jJWC-PkjDydwwjVeer_4kB_x7GPA13G3R6HDIcixEQXfWpiGpCe9Xks7ZZuFjd0vYN7TC_0bugw0RXksYR2jKl_xY6eQftAr1PcYnvgrBLs8F9MD9_JlwCPGY_f8xG5W13cLi-rqz8_18vFVdUqZseqaUB1aA0PqpMoOQKDYLRAg8IFZp1oWgBErrC8a4Bjp5i2oRZK68YGeUTWE7eLsPX71O8gvfgIvT80Yrr3kMovj-htgWurLDRCKyexqSVvO2yNq60OxhbW6cTap_j0jHn02_ichnK-F8o4a420vEzJaapNMeeE4WMrZ_7NJz_55N988u8-FdXJpOoR8UPhOK9dXcv_3M6Ppg</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Bao, Min</creator><creator>Zhou, Song</creator><creator>Yang, Lei</creator><creator>Xing, Mengdao</creator><creator>Zhao, Lifan</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Airborne radar Airborne remote sensing Algorithms Azimuth Bistatic synthetic aperture radar (BiSAR) Cell adhesion & migration Cell migration Compensation Data Error analysis fast factorized back projection (FFBP) Focusing Geometry Image quality Imagery Motion compensation motion compensation (MOCO) Movement nonsystematic range cell migration (NsRCM) Phase error Remote sensing SAR (radar) Signal processing algorithms Synthetic aperture radar Trajectory Wavelengths |
| title | Data-Driven Motion Compensation for Airborne Bistatic SAR Imagery Under Fast Factorized Back Projection Framework |
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