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Quantum Meets SAR: A Novel Range-Doppler Algorithm for Next-Gen Earth Observation | ||
| Earth Observation and Geomatics Engineering | ||
| دوره 10، شماره 1، مهر 2026، صفحه 83-92 اصل مقاله (668.72 K) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22059/eoge.2026.414020.1222 | ||
| نویسندگان | ||
| Khalil Al Salahat1؛ Mohamad El Moussawi2؛ Ali Ghandour* 3 | ||
| 1MSc students, Geoinformatics Engineering, Politecnico di Milano, Milan, Italy. | ||
| 2RASID SARL, Beirut, Lebanon | ||
| 3National Center for Remote Sensing | ||
| چکیده | ||
| Synthetic Aperture Radar (SAR) plays a vital role in remote sensing due to its ability to capture high-resolution images regardless of weather conditions or daylight. However, to transform the raw SAR signals into interpretable imagery, advanced data processing techniques are essential. A widely used technique for this purpose is the Range Doppler Algorithm (RDA), which takes advantage of Fast Fourier Transform (FFT) to convert signals into the frequency domain for further processing. However, the computational cost of this approach becomes significant when dealing with large datasets. This paper presents a Quantum Range Doppler Algorithm (QRDA) that utilizes the Quantum Fourier Transform (QFT) to offer a theoretical exponential processing speedup of up to N/(log N)^2 compared to the classical FFT. However, realizing this end-to-end acceleration in practice requires overcoming significant bottlenecks related to classical data amplitude encoding and quantum measurement overheads. Furthermore, it introduces a quantum implementation of the Range Cell Migration Correction (RCMC) in the Fourier domain, a critical step in the RDA pipeline that realigns the received echoes so that the energy from a target is concentrated in a single range bin across all azimuth positions. The performance of the quantum RCMC is evaluated and compared against its classical counterpart, as an isolated operation, and then as part of the full classical pipeline. | ||
| کلیدواژهها | ||
| Quantum Fourier Transform؛ Synthetic aperture radar؛ Range Cell Migration Correction؛ Remote Sensing | ||
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آمار تعداد مشاهده مقاله: 8 تعداد دریافت فایل اصل مقاله: 3 |
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