标题： 量子遇上SAR：下一代地球观测的新型距离多普勒算法 显示英文标题

标题： Quantum Meets SAR: A Novel Range-Doppler Algorithm for Next-Gen Earth Observation

摘要： 合成孔径雷达（SAR）由于能够在任何天气条件和光照条件下捕获高分辨率图像，在遥感中发挥着至关重要的作用。 然而，要将原始的SAR信号转换为可解释的图像，先进的数据处理技术是必不可少的。 为此广泛使用的一种技术是距离多普勒算法（RDA），它利用快速傅里叶变换（FFT）将信号转换到频域以进行进一步处理。 然而，当处理大数据集时，这种方法的计算成本变得相当显著。 本文提出了一种量子距离多普勒算法（QRDA），与经典的FFT相比，它利用量子傅里叶变换（QFT）加速处理。 此外，它还介绍了距离单元迁移校正（RCMC）在频域中的量子实现，这是RDA流程中的关键步骤，用于重新对齐接收到的回波，使目标的能量在所有方位位置集中在一个范围单元格中。 量子RCMC的性能被评估并与经典版本进行了比较，展示了量子计算在先进SAR成像中的潜力。 显示英文摘要

摘要： 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 accelerate processing compared to the classical FFT. 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, demonstrating the potential of quantum computing in advanced SAR imaging.