ISAR imaging of non-cooperative objects with non-uniform rotational motion
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Yksityiskohdat
| Alkuperäiskieli | Englanti |
|---|---|
| Otsikko | 2016 IEEE Radar Conference (RadarConf) |
| Kustantaja | IEEE |
| ISBN (painettu) | 978-1-5090-0863-6 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - toukokuuta 2016 |
| OKM-julkaisutyyppi | A4 Artikkeli konferenssijulkaisussa |
| Tapahtuma | IEEE RADAR CONFERENCE - Kesto: 1 tammikuuta 1900 → … |
Julkaisusarja
| Nimi | |
|---|---|
| ISSN (elektroninen) | 2375-5318 |
Conference
| Conference | IEEE RADAR CONFERENCE |
|---|---|
| Ajanjakso | 1/01/00 → … |
Tiivistelmä
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.