Academic Journal
Improved reliable high-order SPECAN algorithm for highly squinted SAR imaging processing
| العنوان: | Improved reliable high-order SPECAN algorithm for highly squinted SAR imaging processing |
|---|---|
| المؤلفون: | Wenna Fan, Yang Bi, Min Zhang |
| المصدر: | EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-14 (2024) |
| بيانات النشر: | SpringerOpen, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Telecommunication LCC:Electronics |
| مصطلحات موضوعية: | SPECAN algorithm, Synthetic aperture radar, Highly squinted, Telecommunication, TK5101-6720, Electronics, TK7800-8360 |
| الوصف: | Abstract For the processing of highly squinted synthetic aperture radar (SAR) echo signals, three key challenges need to be considered: rectifying the nonzero Doppler centroid, compensating for azimuthal side-lobe defocusing (ASLD), and correcting the range cell migration (RCM). To address these three problems, we developed a reliable improved fourth-order spectral analysis (SPECAN) algorithm for highly squinted SAR imaging in this study. First, we present a fourth-order phase model (FoPM) that is more suitable for the highly squinted SAR system through a theoretical analysis. Second, based on the FoPM, we derive an improved fourth-order SPECAN algorithm in detail. In this derivation, the nonzero Doppler centroid, the ASLD, and the RCM caused by the high squint angle are corrected. Moreover, the whole simulation procedure of the improved algorithm only contains fast Fourier transform and complex multiplication, so the proposed algorithm can efficiently process highly squinted SAR echoes. Furthermore, the results of a comparison with the traditional SPECAN algorithm show the better performance of the proposed algorithm. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1687-6180 |
| Relation: | https://doaj.org/toc/1687-6180 |
| DOI: | 10.1186/s13634-024-01137-z |
| URL الوصول: | https://doaj.org/article/b985760efb2b4d56af356913aedfd1fe |
| رقم الانضمام: | edsdoj.b985760efb2b4d56af356913aedfd1fe |
| قاعدة البيانات: | Directory of Open Access Journals |
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