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Real-Time Optical Processor Prototype for Remote SAR Applications

机译:远程SAR应用的实时光学处理器原型

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A Compact Real-Time Optical SAR Processor has been successfully developed and tested. SAR, or Synthetic Aperture Radar, is a powerful tool providing enhanced day and night imaging capabilities. SAR systems typically generate large amounts of information generally in the form of complex data that are difficult to compress. Specifically, for planetary missions and unmanned aerial vehicle (UAV) systems with limited communication data rates this is a clear disadvantage. SAR images are typically processed electronically applying dedicated Fourier transformations. This, however, can also be performed optically in real-time. Indeed, the first SAR images have been optically processed. The optical processor architecture provides inherent parallel computing capabilities that can be used advantageously for the SAR data processing. Onboard SAR image generation would provide local access to processed information paving the way for real-time decision-making. This could eventually benefit navigation strategy and instrument orientation decisions. Moreover, for interplanetary missions, onboard analysis of images could provide important feature identification clues and could help select the appropriate images to be transmitted to Earth, consequently helping bandwidth management. This could ultimately reduce the data throughput requirements and related transmission bandwidth. This paper reviews the design of a compact optical SAR processor prototype that would reduce power, weight, and size requirements and reviews the analysis of SAR image generation using the table-top optical processor. Various SAR processor parameters such as processing capabilities, image quality (point target analysis), weight and size are reviewed. Results of image generation from simulated point targets as well as real satellite-acquired raw data are presented
机译:紧凑的实时光学SAR处理器已成功开发和测试。 SAR或合成孔径雷达是一个强大的工具,提供增强的日夜成像功能。 SAR系统通常以难以压缩的复杂数据的形式产生大量信息。具体而言,对于具有有限通信数据速率的行星任务和无人机(UAV)系统,这是一个明显的缺点。 SAR图像通常是电子方式应用专用的傅里叶变换。然而,这也可以实时地光学地进行。实际上,第一个SAR图像已经光学处理。光学处理器架构提供了可有利地用于SAR数据处理的固有并行计算能力。板载SAR图像生成将提供本地访问处理后的信息,为实时决策铺平道路。这可能最终有利于导航策略和仪器方向决策。此外,对于行星际任务,图像的板载分析可以提供重要的特征识别线索,并且可以帮助选择要传输到地球的适当图像,从而有助于带宽管理。这最终可能会降低数据吞吐量需求和相关传输带宽。本文综述了设计紧凑型光学SAR处理器原型,可降低功率,重量和尺寸要求,并使用台式光学处理器验证SAR图像生成的分析。审查了各种SAR处理器参数,如处理能力,图像质量(点目标分析),重量和大小。提出了模拟点目标的图像生成结果以及真实卫星获取的原始数据

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