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Instantaneous doppler signature extraction from within a spectrogram image of a VHF band

机译:从VHF波段的频谱图图像中提取瞬时多普勒签名

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Aircraft tracking based on the Doppler shift of radio sources of opportunity presents one approach to avert or reduce tragedies like the lost flight MH370. Systems like this are based on simultaneous observation of the Doppler shift caused by aircraft from multiple common radio sources and many listeners, for example by capturing Doppler signals from spectrogram images. In the current article, a mathematical model of instantaneous Doppler curve extraction from within a VHF spectrogram image is presented and exploited with three receiving and one transmitting stations. The model is based on a priori knowledge of the probability density function (pdf) of the first-order derivative of the Doppler shift (FODDS), and on a system of blocks for identifying, classifying, and predicting the Doppler signal in a one-scan-at-a-time fashion. Tracing capabilities of such a model are tested in an off-line experiment with 21 TV signal recording sessions. The system was able to trace 73.8% of observed Doppler signatures; its stability was proven with various scenarios of Doppler curve appearance within the recorded sessions and simulated synthetic data.
机译:基于机会源的多普勒频移的飞机跟踪提出了一种避免或减少悲剧的方法,例如失去的MH370飞行。像这样的系统基于对飞机从多个公共无线电源和许多听众那里引起的多普勒频移的同时观察,例如通过捕获频谱图图像中的多普勒信号。在当前的文章中,提出了从VHF频谱图图像中提取瞬时多普勒曲线的数学模型,并利用三个接收站和一个发射站进行了开发。该模型基于多普勒频移(FODDS)一阶导数的概率密度函数(pdf)的先验知识,以及用于识别,分类和预测多普勒信号的单块系统。一次扫描。在一个离线实验中,通过21个电视信号录制会话对这种模型的跟踪能力进行了测试。该系统能够追踪观察到的73.8%的多普勒信号。记录的会话中的多普勒曲线出现的各种场景和模拟的合成数据都证明了其稳定性。

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