<abstract xmlns="http://www.w3.org/1999/xhtml"><p>To solve the off grid problem in compressed sensing (CS) based inverse synthetic aperture radar (ISAR) imaging, a fast and accurate algorithm has been proposed in the paper. By jointly estimating the off grid error and the sparse solution, off grid ISAR imaging is transformed into a joint optimization problem. Interestingly, it can be solved efficiently through two least squares problems based on first order Taylor approximation. When applied to complex sinusoids and quasi real ISAR data, the proposed algorithm has got better results than the conventional algorithm. Therefore, it is a promising off grid CS based ISAR imaging algorithm.</p></abstract>

To solve the off grid problem in compressed sensing (CS) based inverse synthetic aperture radar (ISAR) imaging, a fast and accurate algorithm has been proposed in the paper. By jointly estimating the off grid error and the sparse solution, off grid ISAR imaging is transformed into a joint optimization problem. Interestingly, it can be solved efficiently through two least squares problems based on first order Taylor approximation. When applied to complex sinusoids and quasi real ISAR data, the proposed algorithm has got better results than the conventional algorithm. Therefore, it is a promising off grid CS based ISAR imaging algorithm.

Fast off grid compressed sensing ISAR imaging algorithm

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Fast off grid compressed sensing ISAR imaging algorithm"}

To solve the off grid problem in compressed sensing (CS) based inverse synthetic aperture radar (ISAR) imaging, a fast and accurate algorithm has been proposed...

Fast off grid compressed sensing ISAR imaging algorithm

Publié en ligne: 19 sept. 2018

Pages: 326 - 328

Reçu: 26 juin 2018

DOI: https://doi.org/10.2478/jee-2018-0047

Mots clés
inverse synthetic aperture radar (ISAR), compressed sensing (CS), off grid

© 2018 Cheng Ping et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Fast off grid compressed sensing ISAR imaging algorithm

Publié en ligne: 19 sept. 2018

Pages: 326 - 328

Reçu: 26 juin 2018

DOI: https://doi.org/10.2478/jee-2018-0047

Mots clésinverse synthetic aperture radar (ISAR), compressed sensing (CS), off grid

© 2018 Cheng Ping et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
inverse synthetic aperture radar (ISAR), compressed sensing (CS), off grid