Circular Scan ISAR Mode Super-Resolution Imaging of Ships Based on a Combination of Data Extrapolation and Compressed Sensing

Peng Zhou; Marco Martorella; Xi Zhang; Yongshou Dai; Weifeng Sun; Yong Wan

doi:10.1109/JSEN.2019.2913903

Circular Scan ISAR Mode Super-Resolution Imaging of Ships Based on a Combination of Data Extrapolation and Compressed Sensing

Peng Zhou^*, Marco Martorella, Xi Zhang, Yongshou Dai, Weifeng Sun, Yong Wan

^*Corresponding author for this work

Engineering

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

Airborne radars for maritime surveillance usually operate in scanning mode to detect marine objects over 360 degrees. More recently, the concept of forming inverse synthetic aperture radar (ISAR) images while the antenna is scanning, called circular scan ISAR in this paper, has drawn attention. Circular scan ISAR enables a large coverage area, sequential imaging of multiple targets, and the formation of an image sequence of a target. However, the rapid antenna scanning results in a short accumulation time of the target and reduces the Doppler resolution of the system. This paper analyzes the limit values of the Doppler resolution improvement ratio when super-resolution imaging is performed using only the compressed sensing method by relating the limit values to the restricted isometry constant (RIC) value of the sensing matrices. The limit values are found to be relatively small when the sparsity degree of the sparse signal is relatively large. Therefore, the super-resolution imaging of ships for circular scan ISAR is carried out by extrapolating data in the azimuth direction first and then reconstructing the data via compressed sensing to obtain low side-lobe levels. Finally, the constant false alarm rate (CFAR) detection is performed on the matrix composed of calculated sparse coefficients to improve the signal-to-clutter noise ratio (SCNR). The simulation and real-data processing results are provided to verify the effectiveness of the presented algorithm.

Original language	English
Article number	8703104
Pages (from-to)	6883-6894
Number of pages	12
Journal	IEEE Sensors Journal
Volume	19
Issue number	16
DOIs	https://doi.org/10.1109/JSEN.2019.2913903
Publication status	Published - 15 Aug 2019

Bibliographical note

Funding Information:
Manuscript received March 14, 2019; revised April 18, 2019; accepted April 24, 2019. Date of publication April 30, 2019; date of current version July 17, 2019. This work was supported in part by the National Key R&D Program of China under Grant 2017YFC1405600, in part by the Public Science and Technology Research Funds Projects of Ocean under Grant 201505002, in part by the Youth Fund of China Marine Telemetry Engineering Research Center under Grant 2017003, and in part by the China Scholarship Fund under Grant 201706455032. The associate editor coordinating the review of this paper and approving it for publication was Dr. Laura Anitori. (Corresponding author: Peng Zhou.) P. Zhou, Y. Dai, W. Sun, and Y. Wan are with the College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China (e-mail: [email protected]).

Publisher Copyright:
© 2001-2012 IEEE.

Keywords

Circular scan ISAR mode
compressed sensing
data extrapolation
ISAR imaging
ship imaging
super-resolution imaging

ASJC Scopus subject areas

Instrumentation
Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/JSEN.2019.2913903

Cite this

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title = "Circular Scan ISAR Mode Super-Resolution Imaging of Ships Based on a Combination of Data Extrapolation and Compressed Sensing",

abstract = "Airborne radars for maritime surveillance usually operate in scanning mode to detect marine objects over 360 degrees. More recently, the concept of forming inverse synthetic aperture radar (ISAR) images while the antenna is scanning, called circular scan ISAR in this paper, has drawn attention. Circular scan ISAR enables a large coverage area, sequential imaging of multiple targets, and the formation of an image sequence of a target. However, the rapid antenna scanning results in a short accumulation time of the target and reduces the Doppler resolution of the system. This paper analyzes the limit values of the Doppler resolution improvement ratio when super-resolution imaging is performed using only the compressed sensing method by relating the limit values to the restricted isometry constant (RIC) value of the sensing matrices. The limit values are found to be relatively small when the sparsity degree of the sparse signal is relatively large. Therefore, the super-resolution imaging of ships for circular scan ISAR is carried out by extrapolating data in the azimuth direction first and then reconstructing the data via compressed sensing to obtain low side-lobe levels. Finally, the constant false alarm rate (CFAR) detection is performed on the matrix composed of calculated sparse coefficients to improve the signal-to-clutter noise ratio (SCNR). The simulation and real-data processing results are provided to verify the effectiveness of the presented algorithm.",

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author = "Peng Zhou and Marco Martorella and Xi Zhang and Yongshou Dai and Weifeng Sun and Yong Wan",

note = "Funding Information: Manuscript received March 14, 2019; revised April 18, 2019; accepted April 24, 2019. Date of publication April 30, 2019; date of current version July 17, 2019. This work was supported in part by the National Key R&D Program of China under Grant 2017YFC1405600, in part by the Public Science and Technology Research Funds Projects of Ocean under Grant 201505002, in part by the Youth Fund of China Marine Telemetry Engineering Research Center under Grant 2017003, and in part by the China Scholarship Fund under Grant 201706455032. The associate editor coordinating the review of this paper and approving it for publication was Dr. Laura Anitori. (Corresponding author: Peng Zhou.) P. Zhou, Y. Dai, W. Sun, and Y. Wan are with the College of Information and Control Engineering, China University of Petroleum, Qingdao 266580, China (e-mail: [email protected]). Publisher Copyright: {\textcopyright} 2001-2012 IEEE.",

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Circular Scan ISAR Mode Super-Resolution Imaging of Ships Based on a Combination of Data Extrapolation and Compressed Sensing

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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