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NeXtLook A Lightweight, Real-Time Quick-Look Processor for NeXtRAD

机译:NextLook为Nextrad提供轻量级,实时快速查看处理器

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Real-time pulse compression and Doppler processing algorithms are traditionally thought to require costly, high-performance hardware platforms such as DSPs, GPUs or even FPGAs. Modern off-the-shelf computers however, commonly house two or more physical CPU cores and support twice as many concurrent threads, providing an ideal platform for parallel pulse-Doppler processing and visualisation. This paper documents the development of such a quick-look processor designed for NeXtRAD to ensure that only high-quality recordings are stored for post experiment, in-depth analysis. NeXt-RAD is an experimental, multistatic, polarimetric radar operating in L and X Bands. Limited recorded data resulted in the majority of performance testing being performed on recorded data sets from NetRAD, the predecessor of NeXtRAD. An emphasis on freeware led to development within C++, using trusted, open source libraries FFTW, OpenCV and Boost. Under performance-orientated runtime parameters, the developed system can pulse compress individual range lines of 2 K samples in under 30 μs, and supports pulse repetition frequencies over 15 kHz, far exceeding NeXtRAD's requirements.
机译:传统上,实时脉冲压缩和多普勒处理算法需要昂贵,高性能的硬件平台,例如DSP,GPU甚至FPGA。然而,现代的现代计算机,通常是两个或多个物理CPU核心,并支持两倍的并发线程,为平行脉冲多普勒处理和可视化提供理想的平台。本文介绍了为NEXTRAD设计的这种快速外观处理器的开发,以确保仅存储高质量的录像,用于邮政实验,深入分析。 NEXT-RAD是在L和X波段中运行的实验,多镜,偏振雷达。有限的记录数据导致大多数性能测试在Netrad的Netrad记录数据集上执行了Nextrad的前任。强调免费软件导致C ++中的开发,使用可信,开源库FFTW,OpenCV和Boost。在面向性能的运行时参数下,开发系统可以脉冲压缩在30μs以下的2K样本的各个范围线,并支持超过15 kHz的脉冲重复频率,远远超过Nextrad的要求。

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