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Multistatic adaptive CFAR detection in non-Gaussian clutter

机译:非高斯杂波中的多静态自适应CFAR检测

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摘要

This work addresses the problem of target detection for multistatic radars. We propose an algorithm that is able to keep constant the false alarm rate, when the disturbance samples associated with each receiver-transmitter pair are distributed according to a compound Gaussian model. The performance of the proposed detection algorithm are analysed to assess the impact of clutter diversity on detection performance. The results show that clutter statistical diversity has a strong impact on detection performance. The performance of both single-channel and multichannel detection schemes are evaluated by processing real sea clutter data collected by the NetRAD nodes, in order to evaluate which of the two channels, i.e. the bistatic and monostatic channels, is more favourable for target detection. Furthermore, the gain achieved by using a multistatic detection algorithm is also analysed.
机译:这项工作解决了多基地雷达目标检测的问题。我们提出了一种算法,当根据复合高斯模型分配与每个接收器/发射器对相关的干扰样本时,其误报率保持恒定。分析了提出的检测算法的性能,以评估杂波分集对检测性能的影响。结果表明,杂乱的统计多样性对检测性能有很大的影响。通过处理NetRAD节点收集的真实海杂波数据,可以评估单通道和多通道检测方案的性能,以便评估两个通道中的哪一个(即双基地和单基地)更适合目标探测。此外,还分析了通过使用多点检测算法获得的增益。

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