ISAR imaging of non-cooperative objects with non-uniform rotational motion
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
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| Title of host publication | 2016 IEEE Radar Conference (RadarConf) |
| Publisher | IEEE |
| ISBN (Print) | 978-1-5090-0863-6 |
| DOIs | |
| Publication status | Published - May 2016 |
| Publication type | A4 Article in a conference publication |
| Event | IEEE Radar Conference - Duration: 1 Jan 1900 → … |
Publication series
| Name | |
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| ISSN (Electronic) | 2375-5318 |
Conference
| Conference | IEEE Radar Conference |
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| Period | 1/01/00 → … |
Abstract
In this paper, we propose data-driven optimization techniques for enhancing the ISAR image reconstruction process. We utilize keystone formatting to compensate for the range cell migration caused by the rotational motion and the well-established technique based on time-frequency signal analysis for the ISAR image reconstruction. The proposed optimization method for the keystone formatting determines the optimal slow-time window for the operation by minimizing a loss function depending on the contrast of the sum envelope of the range compressed signal. The optimization procedure proposed for the Cohen's class time-frequency representation determines an optimal kernel function by maximizing the contrast of the intensity normalized ISAR image function. In addition, we utilize the time-frequency reassignment method to enhance the contrast of the ISAR image. The algorithms are illustrated with a numerical example, which indicates that our methodology can be used to increase the performance of the non-cooperative ISAR imaging process.
Keywords
- inverse synthetic aperture radar, radar imaging, radar signal processing