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FPGA Implementation of an ImageCompression and Reconstruction System for the Onboard Radar Using the Compressive Sensing

机译:基于压缩感知的车载雷达图像压缩与重建系统的FPGA实现

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the onboard radar is emerging as one of the most practical methods that can be used for identification and many other applications. Nowadays, almost all unmanned applications use onboard radar as a main sensor that provides critical information. Airplanes, satellites and some unmanned vehicles use various kinds of radars sensors depending on the required mission. Imaging radar sensor is used to produce two-dimensional images. It produces its light to illuminate certain area and take a picture at radio wavelengths. This kind of radars produces high quality images with large size. Thus; the produced images must be compressed to reduce their size and decompressed when used. There are different algorithms for compression and decompression, but when onboard, there is a need for an algorithm that will not consume excessive power to save batteries and require less time to be reliable for use. This paper discloses a new methodology for the image compression based upon the compressive sensing techniques., its implementation using the FPGA and the required simulation.
机译:车载雷达正在成为可用于识别和许多其他应用的最实用的方法之一。如今,几乎所有无人驾驶应用都将机载雷达用作提供关键信息的主要传感器。飞机,卫星和某些无人驾驶车辆会根据所需任务使用各种雷达传感器。成像雷达传感器用于产生二维图像。它产生光以照亮特定区域并以无线电波长拍照。这种雷达可产生大尺寸的高质量图像。因此;产生的图像必须压缩以减小其大小,并在使用时进行解压缩。压缩和解压缩有不同的算法,但是在机载时,需要一种不会消耗过多功率来节省电池并需要更少时间才能可靠使用的算法。本文公开了一种基于压缩感测技术的图像压缩新方法,其使用FPGA的实现以及所需的仿真。

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