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关于宽带雷达成像目标跟踪识别仿真研究 被引量:1

Simulation Research about UWB Radar Imaging Target Tracking and Recognition
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摘要 超宽带雷达成像技术不断发展,成像结果也越来越准确和精细,但是雷达体制本身对目标造成的影响会严重影响雷达的分辨率,影响成像结果。如何消除硬件本身对回波的影响,提高超宽带成像系统的分辨率,将是一个值得不断探索的问题。为了提高分辨率,将反卷积算法引进超宽带雷达成像系统。首先介绍反卷积算法的原理,通过仿真验证了其理论上的可行性。然后设置实验,应用超宽带时域雷达系统探测目标,采集目标回波信号,经反卷积算法处理回波信号,得到了探测目标的冲激响应,对比原始目标图像和经反卷积算法的雷达图像,验证了反卷积算法在实际中的可行性,提高了雷达图像的分辨率。 In order to promote resolution of radar images, the paper brought in deconvolution algorithm to UWB radar imaging system. First, the paper introduced the theory of deconvolution algorithm, and gave the theoretical feasibility by simulation. The next, we conducted an experiment using UWB time domain system to detect the target. The deconvolution algorithm was applied to process the echo signals, and the impulse responses of target was obtained. By comparing the regional images with images through the process of deconvolution algorithm, feasibility in practice was verified and the resolution was promoted.
机构地区 空军工程大学
出处 《计算机仿真》 CSCD 北大核心 2015年第11期55-59,共5页 Computer Simulation
关键词 超宽带雷达成像 分辨率 反卷积算法 UWB radar imaging Resolution Deconvolution algorithm
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参考文献9

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