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A mutual information based approach for target detection through foliage using UWB radar

机译:基于互信息的超宽带雷达通过树叶探测目标的方法

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In this paper, we propose, one novel information theoretic method for target detection through foliage, using ultra wide-band (UWB) radars. This method is based on mutual information between subsequent radar return that makes use of the fact, that there is more random phenomenon in the targeted region. Mutual information is a robust method to extract dependent information and insensitive to nonlinearities. When echoes are in good quality, the detection of target can be achieved by applying our method. Finally, we propose radar sensor network (RSN) and rake structure for poor signal quality, which will integrate the information in the fusion center. Results show that accurate detection can be achieved by this method. The performance of the algorithm was evaluated, based on real world data.
机译:在本文中,我们提出了一种使用超宽带(UWB)雷达通过树叶进行目标检测的新颖信息理论方法。该方法基于后续雷达回波之间的相互信息,该信息利用以下事实:目标区域存在更多随机现象。互信息是提取依赖信息且对非线性不敏感的可靠方法。当回波质量良好时,可以通过应用我们的方法来实现目标的检测。最后,针对信号质量较差的情况,我们提出了雷达传感器网络(RSN)和耙式结构,它将信息融合在融合中心中。结果表明,该方法可以实现准确的检测。根据实际数据评估了算法的性能。

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