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Cognitive waveform and receiver selection mechanism for multistatic radar

机译:多基地雷达的认知波形和接收机选择机制

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摘要

Novel cognitive radar (CR) approach to improve the extended targets detection and resolution is developed in a multistatic radar context. A cognitive waveform selection mechanism based on target probability of detection maximisation in conjunction with adaptive receiver allocation/selection is proposed. Apart from the cognitive waveform selection objective, this process aims at evaluating the optimal positions for the radar receivers in an attempt to iteratively minimise the geometric dilution of precision, subsequently resulting in a high precision target geolocation estimate. The cognitive waveform selection mechanism is based on target dynamics involving time varying target scattering characteristics and clutter distribution parameters. Thus with the proposed dual objective approach, the concept of cognition can be extended to both the radar transmitter and receiver sites. Numerical results demonstrate better target detection performance and positioning accuracy using the proposed approach as compared with conventional methods based on static transmission or stationary multistatic receivers topology.
机译:在多静态雷达环境中,开发了用于改善扩展目标检测和分辨率的新型认知雷达(CR)方法。提出了一种基于目标最大化检测概率的自适应接收器分配/选择的认知波形选择机制。除了认知波形选择目标之外,此过程还旨在评估雷达接收器的最佳位置,以尝试将精度的几何稀释度最小化,从而获得高精度的目标地理位置估计。认知波形选择机制基于目标动力学,其中包括时变目标散射特性和杂波分布参数。因此,通过提出的双重目标方法,认知概念可以扩展到雷达发射机和接收机站点。数值结果表明,与基于静态传输或固定多静态接收器拓扑的常规方法相比,使用所提出的方法具有更好的目标检测性能和定位精度。

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