Accelerated Algorithm for Back-Projection Fully Focused SAR Altimetry
Fully focused (FF) synthetic aperture radar (SAR) back-projection algorithms for radar altimetry have gained attention in the altimetry community due to their improved azimuth resolution compared to traditional methods, such as the delay/Doppler algorithm. However, the significant computational cost of back-projection has limited its use in operational applications. This article presents an accelerated back-projection algorithm that reduces the runtime of the classic back-projection by a factor of 28 on a CPU-based architecture. When implemented on a GPU-based architecture, the accelerated back-projection achieves a speedup ranging from 8 to 13 times compared to the classic back-projection on the same GPU. In comparison to the classic back-projection running on a CPU, the combination of the accelerated back-projection and GPU processing results in an overall improvement of up to 1570 times. The accelerated algorithm maintains the accuracy of classic time-domain algorithms and allows for the processing of data in the order of the sensing time under a GPU-based architecture. The algorithm has been extensively validated using transponder and open ocean data. These results indicate that operational back-projection algorithms are feasible for current radar altimetry missions, such as Sentinel-6, and upcoming missions like CRISTAL and Sentinel-3 Next Generation.
Authors
- F. Gibert (ORCID: https://orcid.org/0000-0003-0747-1481)
- A. Broquetas (ORCID: https://orcid.org/0000-0001-9801-9145)
- Alejandro Egido (ORCID: https://orcid.org/0000-0003-1489-727X)
- Gorka Moyano
- Adrián Flores de la Cruz (ORCID: https://orcid.org/0000-0002-1425-5931)
- Sergi Hernández
- Marco Fornari
- Pol Villalvilla
Institutions
- Barcelona Activa (ES)
- European Space Research and Technology Centre (NL)
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- IEEE Transactions on Geoscience and Remote Sensing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tgrs.2025.3556544
- Primary Topic
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Agència de Gestió d'Ajuts Universitaris i de Recerca