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Reflectivity models for radar target recognition

机译:雷达目标识别的反射率模型

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A model for the generation of reflectivity profiles is presented for use in a radar target recognition system. The data are assumed to come from two sensors: a high range resolution radar and a tracking radar. The object is simultaneously tracked and identified using estimation theoretic methods by comparing a sequence of received range profiles to range profiles generated from surface templates. The tracking data are used to form priors on the position and orientation of the object. The templates consist of surface descriptions comprised of electromagnetically large patches tiling the entire object. The predicted return is computed from several quantities. First, the reflectivity range profile is computed from the patches incorporating a shading function. The physical optics approximation is that patches not directly illuminated by the transmitted signal to not contribute to the return signal. Second, the reflected signal is approximated by the convolution of the transmitted signal with the range profile. Third, the receiver design yields the actual I-Q data available for processing.
机译:介绍了用于产生反射率配置文件的模型,用于雷达目标识别系统。假设数据来自两个传感器:高范围分辨率雷达和跟踪雷达。通过将接收范围配置文件的序列与从表面模板产生的范围配置文件进行比较,同时跟踪和识别该对象并识别。跟踪数据用于在对象的位置和方向上形成前沿。模板由由电磁解大斑块构成的表面描述包括整个物体。预测返回是从几个数量计算的。首先,从包含阴影功能的贴片计算反射率范围曲线。物理光学逼近是不被发送信号直接照射的贴片,以不贡献返回信号。其次,反射信号通过具有范围分布的发送信号的卷积来近似。第三,接收器设计会产生可用于处理的实际I-Q数据。

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