Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/178408
Title: Maritime Surveillance With Undersampled SAR
Authors: Yuying Wang;Zhimin Zhang;Ning Li;Feng Hong;Huaitao Fan;Xiangyu Wang
Year: 2017
Publisher: IEEE
Abstract: According to the minimum antenna area constraint, synthetic aperture radar (SAR) systems require a low-pulse repetition frequency (PRF) to image the wide swaths in ocean surface monitoring scenarios. However, the low PRF that is lower than the Doppler bandwidth will cause azimuth ambiguities. This letter proposes a novel method of mitigating azimuth ambiguities when using an undersampled SAR system for ship detection over the open sea. In this letter, the concept of range subspectra is adopted to misregister the azimuth ambiguity signals. In addition, a change detection method that uses a principal component analysis and k-means clustering is adopted to detect differences in the azimuth ambiguities between two range subspectra images in which the azimuth ambiguities are misregistered. By compensating for the ambiguities in the corresponding image, the ambiguities can be mitigated. This method is only appropriate for bright targets over dark backgrounds in which residual energy loss occurs for useful signals. Both simulated and real data processing results have validated the effectiveness of the proposed method and show that it is feasible for maritime surveillance.
URI: http://localhost/handle/Hannan/178408
volume: 14
issue: 8
More Information: 1423,
1427
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7971910.pdf1.28 MBAdobe PDF
Title: Maritime Surveillance With Undersampled SAR
Authors: Yuying Wang;Zhimin Zhang;Ning Li;Feng Hong;Huaitao Fan;Xiangyu Wang
Year: 2017
Publisher: IEEE
Abstract: According to the minimum antenna area constraint, synthetic aperture radar (SAR) systems require a low-pulse repetition frequency (PRF) to image the wide swaths in ocean surface monitoring scenarios. However, the low PRF that is lower than the Doppler bandwidth will cause azimuth ambiguities. This letter proposes a novel method of mitigating azimuth ambiguities when using an undersampled SAR system for ship detection over the open sea. In this letter, the concept of range subspectra is adopted to misregister the azimuth ambiguity signals. In addition, a change detection method that uses a principal component analysis and k-means clustering is adopted to detect differences in the azimuth ambiguities between two range subspectra images in which the azimuth ambiguities are misregistered. By compensating for the ambiguities in the corresponding image, the ambiguities can be mitigated. This method is only appropriate for bright targets over dark backgrounds in which residual energy loss occurs for useful signals. Both simulated and real data processing results have validated the effectiveness of the proposed method and show that it is feasible for maritime surveillance.
URI: http://localhost/handle/Hannan/178408
volume: 14
issue: 8
More Information: 1423,
1427
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7971910.pdf1.28 MBAdobe PDF
Title: Maritime Surveillance With Undersampled SAR
Authors: Yuying Wang;Zhimin Zhang;Ning Li;Feng Hong;Huaitao Fan;Xiangyu Wang
Year: 2017
Publisher: IEEE
Abstract: According to the minimum antenna area constraint, synthetic aperture radar (SAR) systems require a low-pulse repetition frequency (PRF) to image the wide swaths in ocean surface monitoring scenarios. However, the low PRF that is lower than the Doppler bandwidth will cause azimuth ambiguities. This letter proposes a novel method of mitigating azimuth ambiguities when using an undersampled SAR system for ship detection over the open sea. In this letter, the concept of range subspectra is adopted to misregister the azimuth ambiguity signals. In addition, a change detection method that uses a principal component analysis and k-means clustering is adopted to detect differences in the azimuth ambiguities between two range subspectra images in which the azimuth ambiguities are misregistered. By compensating for the ambiguities in the corresponding image, the ambiguities can be mitigated. This method is only appropriate for bright targets over dark backgrounds in which residual energy loss occurs for useful signals. Both simulated and real data processing results have validated the effectiveness of the proposed method and show that it is feasible for maritime surveillance.
URI: http://localhost/handle/Hannan/178408
volume: 14
issue: 8
More Information: 1423,
1427
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7971910.pdf1.28 MBAdobe PDF