Orthogonal waveform separation based on echo compression for airborne MIMO-SAR systems
Attention has been devoted to multi-input multi-output (MIMO) synthetic aperture radar (SAR) systems in recent years. The applications of MIMO-SAR systems which involve high-resolution wide-swath remote sensing, three-dimensional imaging, and multi-baseline interferometry are seriously limited, beca...
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doaj-2126dd009ffc437c8c15945891be6d162021-04-02T12:24:52ZengWileyThe Journal of Engineering2051-33052019-07-0110.1049/joe.2019.0392JOE.2019.0392Orthogonal waveform separation based on echo compression for airborne MIMO-SAR systemsJie Wang0Longyong Chen1Xingdong Liang2School of Electronic & Information Engineering, Nanjing University of Information Science & TechnologyScience and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of SciencesScience and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of SciencesAttention has been devoted to multi-input multi-output (MIMO) synthetic aperture radar (SAR) systems in recent years. The applications of MIMO-SAR systems which involve high-resolution wide-swath remote sensing, three-dimensional imaging, and multi-baseline interferometry are seriously limited, because the superposed echoes of the multiple transmitted orthogonal waveforms cannot be separated perfectly. The imperfect separation will introduce ambiguous energy and degrade SAR images dramatically. Here, a novel orthogonal waveform separation scheme based on echo compression is proposed for airborne MIMO-SAR systems. Specifically, apart from simultaneously transmissions, the transmitters are required to radiate alone several times in a synthetic aperture to acquire their private inner-aperture channels. For the relevant scene, the energy of the solely radiated orthogonal waveforms can be concentrated by matched-filtering the superposed echoes with the sensed echoes. To this extent, the orthogonal waveforms can be perfectly separated through extracting the peaks from the echo-compressed results. The proposed scheme is validated by simulation results.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0392MIMO radarradar imagingsynthetic aperture radardata compressionimage codingradar resolutionremote sensing by radarradar interferometryradar transmittersmatched filtersimage filteringradar receiversmatched-filteringthree-dimensional imagingsuperposed echo sensingSAR image degradationradiated orthogonal waveform separation schememultiple transmitted orthogonal waveformsmultibaseline interferometryhigh-resolution wide-swath remote sensingmultiinput multioutput synthetic aperture radar systemsairborne MIMO-SAR systemsecho compression |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jie Wang Longyong Chen Xingdong Liang |
spellingShingle |
Jie Wang Longyong Chen Xingdong Liang Orthogonal waveform separation based on echo compression for airborne MIMO-SAR systems The Journal of Engineering MIMO radar radar imaging synthetic aperture radar data compression image coding radar resolution remote sensing by radar radar interferometry radar transmitters matched filters image filtering radar receivers matched-filtering three-dimensional imaging superposed echo sensing SAR image degradation radiated orthogonal waveform separation scheme multiple transmitted orthogonal waveforms multibaseline interferometry high-resolution wide-swath remote sensing multiinput multioutput synthetic aperture radar systems airborne MIMO-SAR systems echo compression |
author_facet |
Jie Wang Longyong Chen Xingdong Liang |
author_sort |
Jie Wang |
title |
Orthogonal waveform separation based on echo compression for airborne MIMO-SAR systems |
title_short |
Orthogonal waveform separation based on echo compression for airborne MIMO-SAR systems |
title_full |
Orthogonal waveform separation based on echo compression for airborne MIMO-SAR systems |
title_fullStr |
Orthogonal waveform separation based on echo compression for airborne MIMO-SAR systems |
title_full_unstemmed |
Orthogonal waveform separation based on echo compression for airborne MIMO-SAR systems |
title_sort |
orthogonal waveform separation based on echo compression for airborne mimo-sar systems |
publisher |
Wiley |
series |
The Journal of Engineering |
issn |
2051-3305 |
publishDate |
2019-07-01 |
description |
Attention has been devoted to multi-input multi-output (MIMO) synthetic aperture radar (SAR) systems in recent years. The applications of MIMO-SAR systems which involve high-resolution wide-swath remote sensing, three-dimensional imaging, and multi-baseline interferometry are seriously limited, because the superposed echoes of the multiple transmitted orthogonal waveforms cannot be separated perfectly. The imperfect separation will introduce ambiguous energy and degrade SAR images dramatically. Here, a novel orthogonal waveform separation scheme based on echo compression is proposed for airborne MIMO-SAR systems. Specifically, apart from simultaneously transmissions, the transmitters are required to radiate alone several times in a synthetic aperture to acquire their private inner-aperture channels. For the relevant scene, the energy of the solely radiated orthogonal waveforms can be concentrated by matched-filtering the superposed echoes with the sensed echoes. To this extent, the orthogonal waveforms can be perfectly separated through extracting the peaks from the echo-compressed results. The proposed scheme is validated by simulation results. |
topic |
MIMO radar radar imaging synthetic aperture radar data compression image coding radar resolution remote sensing by radar radar interferometry radar transmitters matched filters image filtering radar receivers matched-filtering three-dimensional imaging superposed echo sensing SAR image degradation radiated orthogonal waveform separation scheme multiple transmitted orthogonal waveforms multibaseline interferometry high-resolution wide-swath remote sensing multiinput multioutput synthetic aperture radar systems airborne MIMO-SAR systems echo compression |
url |
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0392 |
work_keys_str_mv |
AT jiewang orthogonalwaveformseparationbasedonechocompressionforairbornemimosarsystems AT longyongchen orthogonalwaveformseparationbasedonechocompressionforairbornemimosarsystems AT xingdongliang orthogonalwaveformseparationbasedonechocompressionforairbornemimosarsystems |
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1721568954264059904 |