Optimized Synthetic Aperture Radar (SAR) processing for Airborne UWB FMCW Radar
Remote Sensing of snow covered sea ice in melting Polar Regions has become crucial in estimating the results of increased global warming and to overcome the Earth’s energy imbalance. And to accurately map the snow models over sea ice, it has become essential to build radar systems that has increased...
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ftunivkansas:oai:kuscholarworks.ku.edu:1808/27763 2023-05-15T15:53:45+02:00 Optimized Synthetic Aperture Radar (SAR) processing for Airborne UWB FMCW Radar Challa, Divya Leuschen, Carlton Stiles, James Paden, John 2018 90 pages http://hdl.handle.net/1808/27763 http://dissertations.umi.com/ku:16218 en eng University of Kansas http://dissertations.umi.com/ku:16218 http://hdl.handle.net/1808/27763 Copyright held by the author. openAccess Engineering Electrical engineering FMCW Radar SAR Thesis 2018 ftunivkansas 2022-08-26T13:23:58Z Remote Sensing of snow covered sea ice in melting Polar Regions has become crucial in estimating the results of increased global warming and to overcome the Earth’s energy imbalance. And to accurately map the snow models over sea ice, it has become essential to build radar systems that has increased sensitivity and to use post processing techniques that enhance the performance. The Center for Remote Sensing of Ice Sheets (CReSIS) at KU has developed ultra-wideband snow radar system that operates over 2-18 GHz frequency range to effectively measure the snow thickness including very thin snow cover and map the snow-ice and snow-ice interfaces precisely. Synthetic Aperture Radar (SAR) processing is one of the post processing technique employed to further increase the sensitivity of the radar in terms of resolution and SNR. In this thesis, a time domain correlation SAR technique which is essentially a matched filter application is described and implemented. It is verified initially with an ideal simulated point target data and then with point target data collected by the snow radar system over sea-ice. Both gave the results as expected with the theoretical values. It is also shown how noise is multiplied with increasing synthetic aperture length. The effect of aircraft motion non-linearities on SAR processing are also studied at different altitudes. To overcome the effect of non-linearities and multiplicative noise, a multilooking SAR processing is proposed and explained. This is then applied to the field data collected by the snow radar in 2014 to 2017 over sea ice and observed that the azimuth resolution is improved by 4 m approximately. The optimum parameters like SAR aperture length and the number of looks are extracted based on the results of SAR processing on various data sets. Finally, a comparison of SAR application to low and high altitude data sets collected in 2016 over the same region is also provided to show that longer apertures are required for high altitude to achieve same amount of improvement in ... Thesis Center for Remote Sensing of Ice Sheets (CReSIS) Sea ice The University of Kansas: KU ScholarWorks |
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Open Polar |
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The University of Kansas: KU ScholarWorks |
op_collection_id |
ftunivkansas |
language |
English |
topic |
Engineering Electrical engineering FMCW Radar SAR |
spellingShingle |
Engineering Electrical engineering FMCW Radar SAR Challa, Divya Optimized Synthetic Aperture Radar (SAR) processing for Airborne UWB FMCW Radar |
topic_facet |
Engineering Electrical engineering FMCW Radar SAR |
description |
Remote Sensing of snow covered sea ice in melting Polar Regions has become crucial in estimating the results of increased global warming and to overcome the Earth’s energy imbalance. And to accurately map the snow models over sea ice, it has become essential to build radar systems that has increased sensitivity and to use post processing techniques that enhance the performance. The Center for Remote Sensing of Ice Sheets (CReSIS) at KU has developed ultra-wideband snow radar system that operates over 2-18 GHz frequency range to effectively measure the snow thickness including very thin snow cover and map the snow-ice and snow-ice interfaces precisely. Synthetic Aperture Radar (SAR) processing is one of the post processing technique employed to further increase the sensitivity of the radar in terms of resolution and SNR. In this thesis, a time domain correlation SAR technique which is essentially a matched filter application is described and implemented. It is verified initially with an ideal simulated point target data and then with point target data collected by the snow radar system over sea-ice. Both gave the results as expected with the theoretical values. It is also shown how noise is multiplied with increasing synthetic aperture length. The effect of aircraft motion non-linearities on SAR processing are also studied at different altitudes. To overcome the effect of non-linearities and multiplicative noise, a multilooking SAR processing is proposed and explained. This is then applied to the field data collected by the snow radar in 2014 to 2017 over sea ice and observed that the azimuth resolution is improved by 4 m approximately. The optimum parameters like SAR aperture length and the number of looks are extracted based on the results of SAR processing on various data sets. Finally, a comparison of SAR application to low and high altitude data sets collected in 2016 over the same region is also provided to show that longer apertures are required for high altitude to achieve same amount of improvement in ... |
author2 |
Leuschen, Carlton Stiles, James Paden, John |
format |
Thesis |
author |
Challa, Divya |
author_facet |
Challa, Divya |
author_sort |
Challa, Divya |
title |
Optimized Synthetic Aperture Radar (SAR) processing for Airborne UWB FMCW Radar |
title_short |
Optimized Synthetic Aperture Radar (SAR) processing for Airborne UWB FMCW Radar |
title_full |
Optimized Synthetic Aperture Radar (SAR) processing for Airborne UWB FMCW Radar |
title_fullStr |
Optimized Synthetic Aperture Radar (SAR) processing for Airborne UWB FMCW Radar |
title_full_unstemmed |
Optimized Synthetic Aperture Radar (SAR) processing for Airborne UWB FMCW Radar |
title_sort |
optimized synthetic aperture radar (sar) processing for airborne uwb fmcw radar |
publisher |
University of Kansas |
publishDate |
2018 |
url |
http://hdl.handle.net/1808/27763 http://dissertations.umi.com/ku:16218 |
genre |
Center for Remote Sensing of Ice Sheets (CReSIS) Sea ice |
genre_facet |
Center for Remote Sensing of Ice Sheets (CReSIS) Sea ice |
op_relation |
http://dissertations.umi.com/ku:16218 http://hdl.handle.net/1808/27763 |
op_rights |
Copyright held by the author. openAccess |
_version_ |
1766388935054852096 |