An Improved Radio Frequency Interference Model: Reevaluation of the Kurtosis Detection Algorithm Performance Under Central-Limit Conditions
An Improved Radio Frequency Interference Model: Reevaluation of the Kurtosis Detection Algorithm Performance Under Central-Limit Conditions
复制标题
改进的射频干扰模型：中心极限条件下峭度检测算法性能的重新评估
DOI：
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复制
发表时间：
2012
影响因子：
8.2
通讯作者：
C. Ruf
中科院分区：
文献类型：
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作者：
S. Misra;R. D. Roo;C. Ruf
最近进行被动微波测量的空降野外战役已经观察到一些射频干扰（RFI），这些干扰仍未被峰度RFI检测算法检测到。目前RFI的脉冲正弦模型并不能解释检测算法的这种异常行为。在本文中，开发了一种新的RFI模型，该模型考虑了天线足迹内的多个RFI源。对新模型下的峰度算法的性能进行了评价。实验验证了多源峰态检测算法在中心极限条件下的性能。新的RFI模型提供了一个合理的解释，为缺乏检测的峰度算法的RFI否则观察到。
Recent airborne field campaigns making passive microwave measurements have observed some radio frequency interference (RFI) that remained undetected by the kurtosis RFI-detection algorithm. The current pulsed-sinusoidal model for RFI does not explain this anomalous behavior of the detection algorithm. In this paper, a new RFI model is developed that takes into account multiple RFI sources within an antenna footprint. The performance of the kurtosis algorithm with the new model is evaluated. The behavior of the kurtosis detection algorithm under central-limit conditions due to multiple sources is experimentally verified. The new RFI model offers a plausible explanation for the lack of detection by the kurtosis algorithm of the RFI otherwise observed.