Please use this identifier to cite or link to this item: http://localhost:80/handle/Hannan/159218
Title: Range-Dependent Map-Drift Algorithm for Focusing UAV SAR Imagery
Authors: Lei Zhang;Mengqi Hu;Guangyong Wang;Hongxian Wang
subject: range-dependent MDA (RDMDA)|synthetic aperture radar (SAR)|unmanned aerial vehicle (UAV)|motion compensation (MOCO)|Map-drift algorithm (MDA)
Year: 2016
Publisher: IEEE
Abstract: Synthetic aperture radar (SAR) systems mounted on unmanned aerial vehicles (UAVs) are usually sensitive to trajectory deviations that cause serious motion error in the recorded data. In this letter, a novel range-dependent map-drift algorithm (RDMDA) is developed to accommodate the range-variant characteristics of severe motion errors. Utilizing the algorithm as a core estimate, we come up with a robust motion compensation strategy for the UAV SAR imagery. RDMDA outperforms the conventional MDA in both accuracy and robustness while it keeps similar efficiency. Real data experiment shows that the proposed approach is appropriate for precise imaging of UAV SAR systems equipped with only a low-accuracy inertial navigation system.
URI: http://localhost/handle/Hannan/159218
ISSN: 1545-598X
1558-0571
volume: 13
issue: 8
More Information: 1158
1162
Appears in Collections:2016

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Title: Range-Dependent Map-Drift Algorithm for Focusing UAV SAR Imagery
Authors: Lei Zhang;Mengqi Hu;Guangyong Wang;Hongxian Wang
subject: range-dependent MDA (RDMDA)|synthetic aperture radar (SAR)|unmanned aerial vehicle (UAV)|motion compensation (MOCO)|Map-drift algorithm (MDA)
Year: 2016
Publisher: IEEE
Abstract: Synthetic aperture radar (SAR) systems mounted on unmanned aerial vehicles (UAVs) are usually sensitive to trajectory deviations that cause serious motion error in the recorded data. In this letter, a novel range-dependent map-drift algorithm (RDMDA) is developed to accommodate the range-variant characteristics of severe motion errors. Utilizing the algorithm as a core estimate, we come up with a robust motion compensation strategy for the UAV SAR imagery. RDMDA outperforms the conventional MDA in both accuracy and robustness while it keeps similar efficiency. Real data experiment shows that the proposed approach is appropriate for precise imaging of UAV SAR systems equipped with only a low-accuracy inertial navigation system.
URI: http://localhost/handle/Hannan/159218
ISSN: 1545-598X
1558-0571
volume: 13
issue: 8
More Information: 1158
1162
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7494976.pdf935.09 kBAdobe PDFThumbnail
Preview File
Title: Range-Dependent Map-Drift Algorithm for Focusing UAV SAR Imagery
Authors: Lei Zhang;Mengqi Hu;Guangyong Wang;Hongxian Wang
subject: range-dependent MDA (RDMDA)|synthetic aperture radar (SAR)|unmanned aerial vehicle (UAV)|motion compensation (MOCO)|Map-drift algorithm (MDA)
Year: 2016
Publisher: IEEE
Abstract: Synthetic aperture radar (SAR) systems mounted on unmanned aerial vehicles (UAVs) are usually sensitive to trajectory deviations that cause serious motion error in the recorded data. In this letter, a novel range-dependent map-drift algorithm (RDMDA) is developed to accommodate the range-variant characteristics of severe motion errors. Utilizing the algorithm as a core estimate, we come up with a robust motion compensation strategy for the UAV SAR imagery. RDMDA outperforms the conventional MDA in both accuracy and robustness while it keeps similar efficiency. Real data experiment shows that the proposed approach is appropriate for precise imaging of UAV SAR systems equipped with only a low-accuracy inertial navigation system.
URI: http://localhost/handle/Hannan/159218
ISSN: 1545-598X
1558-0571
volume: 13
issue: 8
More Information: 1158
1162
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7494976.pdf935.09 kBAdobe PDFThumbnail
Preview File