<abstract xmlns="http://www.w3.org/1999/xhtml"><p>To improve the performance of inverse synthetic aperture radar (ISAR) imaging based on compressed sensing (CS), a new algorithm based on log-sum minimization is proposed. A new interpretation of the algorithm is also provided. Compared with the conventional algorithm, the new algorithm can recover signals based on fewer measurements, in looser sparsity condition, with smaller recovery error, and it has obtained better sinusoidal signal spectrum and imaging result for real ISAR data. Therefore, the proposed algorithm is a promising imaging algorithm in CS ISAR.</p></abstract>

To improve the performance of inverse synthetic aperture radar (ISAR) imaging based on compressed sensing (CS), a new algorithm based on log-sum minimization is proposed. A new interpretation of the algorithm is also provided. Compared with the conventional algorithm, the new algorithm can recover signals based on fewer measurements, in looser sparsity condition, with smaller recovery error, and it has obtained better sinusoidal signal spectrum and imaging result for real ISAR data. Therefore, the proposed algorithm is a promising imaging algorithm in CS ISAR.

New Compressed Sensing ISAR Imaging Algorithm Based on Log–Sum Minimization

College of Computer and Information, Hohai University, 211100 Nanjing,

College of Science, Hohai University, 210098 Nanjing,

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"New Compressed Sensing ISAR Imaging Algorithm Based on Log\u2013Sum Minimization"}

To improve the performance of inverse synthetic aperture radar (ISAR) imaging based on compressed sensing (CS), a new algorithm based on log-sum minimization...

New Compressed Sensing ISAR Imaging Algorithm Based on Log–Sum Minimization

Online veröffentlicht: 30. Dez. 2016

Seitenbereich: 439 - 443

Eingereicht: 18. Nov. 2015

DOI: https://doi.org/10.1515/jee-2016-0064

Schlüsselwörter
compressed sensing (CS), inverse synthetic aperture radar (ISAR), log-sum

© 2016 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

New Compressed Sensing ISAR Imaging Algorithm Based on Log–Sum Minimization

Online veröffentlicht: 30. Dez. 2016

Seitenbereich: 439 - 443

Eingereicht: 18. Nov. 2015

DOI: https://doi.org/10.1515/jee-2016-0064

Schlüsselwörtercompressed sensing (CS), inverse synthetic aperture radar (ISAR), log-sum

© 2016 Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
compressed sensing (CS), inverse synthetic aperture radar (ISAR), log-sum