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An Adaptive Spectrogram and Accelerogram Algorithm for Electronic Warfare Applications

机译：电子战应用的自适应频谱图和加速度图算法

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This paper presents a novel adaptive approach to spectrogram and accelerogram calculation based on the signal chirp rate (CR). Such a method may be useful in electronic intelligence (ELINT), electronic warfare (EW) and electronic reconnaissance (ER) or in passive bistatic radar (PBR) systems where waveform parameters are unknown. Precise signal parameter estimation is important to correctly reconstruct and use the received signal for different purposes. However, due to the non-stationary nature of the analyzed waveforms, time-frequency (TF) analysis is often employed. Thanks to numerous types of TF representation techniques, various advantages can be reached. In addition, adaptive approaches allow greater accuracy and resolution to be achieved, which is essential in signal parameter estimation. In this paper, an adaptive spectrogram and accelerogram are presented for which the calculation of the CR estimation in the TF domain was used. An analysis window was changed individually with respect to the obtained instantaneous CR, which ensured optimal resolution over the TF plane. The proposed approach was tested and verified using real-life signals coming from the Air Traffic Control (ATC) radar.
机译：本文提出了一种基于信号啁啾速率（CR）的谱分辨率和加速器谱计算的新型自适应方法。这种方法可用于电子智能（elint），电子战（Ew）和电子侦察（ER）或在波形参数未知的被动的双丝雷达（PBR）系统中。精确的信号参数估计对于正确重建并使用接收的信号进行不同目的是重要的。然而，由于分析的波形的非静止性，通常采用时间频率（TF）分析。由于许多类型的TF表示技术，可以达到各种优点。此外，自适应方法允许实现更高的准确性和分辨率，这在信号参数估计中是必不可少的。在本文中，提出了一种自适应频谱图和加速局，其中使用了TF结构域中的CR估计的计算。对于获得的瞬时CR，分析窗口被单独地改变，这确保了通过TF平面的最佳分辨率。使用来自空中交通管制（ATC）雷达的真实寿命信号进行测试和验证所提出的方法。

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