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Contour recognition with a cooperative distributed radar sensor network

机译:使用协同分布式雷达传感器网络的轮廓识别

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Cooperative Radar Sensor Systems operate several radar sensors with independent generation in a distributed network. Evaluating the cross-echo distances (bistatic responses), additional information about the target's contour can be gained, as the locations of further reflection points of the target can be estimated. In this paper, a system model with several single channel stations is introduced, which enables to distinguish between spherical (point scatterers) and planar objects. For this model, the complete signal processing chain to process the bistatic response is presented. Criteria to distinguish between point and planar scatterers are derived from geometrical deliberations. The technique is demonstrated in a measurement setup with an arbitrary waveform generator (AWG) as the signal source for two stations. Results are discussed for varying phase noise parameters. The measurements reveal that the presented method enables contour classification of objects under strict phase noise requirements.
机译:合作雷达传感器系统在分布式网络中运行多个具有独立一代的雷达传感器。评估交叉回声距离(双面响应),可以获得关于目标轮廓的附加信息,因为可以估计目标的其他反射点的位置。在本文中,引入了具有多个频道站的系统模型,这使得能够区分球面(点散射器)和平面物体。对于该模型,介绍了处理双晶响应的完整信号处理链。区分点和平面散射体的标准源自几何审议。该技术在具有任意波形发生器(AWG)的测量设置中以两个站的信号源进行了说明。讨论了不同相位噪声参数的结果。测量结果表明,所提出的方法可以在严格的相位噪声要求下轮廓分类对象。

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