Detection and Parameter Extraction of Low Probability of Intercept Frequency Hopping Signals using the Spectrogram and the Reassigned Spectrogram

Daniel L. Stevens
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Abstract

Low probability of intercept radar signals, which are often problematic to detect and characterize, have as their goal ‘to see and not be seen’. Digital intercept receivers are currently moving away from Fourier-based analysis and towards classical time-frequency analysis techniques for the purpose of analyzing these low probability of intercept radar signals. Although these classical time-frequency analysis techniques are an improvement over existing Fourierbased techniques, they still suffer from a lack of readability –which can be caused by poor timefrequency localization (such as the spectrogram), which may in turn lead to inaccurate detection and parameter extraction. In this study, the reassignment method, because of its ability to improve time-frequency localization, is proposed as an improved signal analysis technique to address the poor time-frequency localization deficiency of the spectrogram. This paper presents the novel approach of characterizing low probability of intercept frequency hopping radar signals through utilization and direct comparison of the spectrogram versus the reassigned
基于频谱图和重分配频谱图的低概率截获跳频信号检测与参数提取
拦截雷达信号的概率低,探测和表征往往有问题,它们的目标是“看见而不被看见”。数字拦截接收机目前正在从基于傅里叶的分析转向经典的时频分析技术,目的是分析这些低概率拦截雷达信号。尽管这些经典的时频分析技术是对现有的基于傅里叶的技术的改进,但它们仍然缺乏可读性——这可能是由于较差的时频定位(如频谱图)造成的,这可能反过来导致不准确的检测和参数提取。本文提出了一种改进的信号分析技术——重分配方法,因为它具有改善时频定位的能力,可以解决频谱图时频定位差的不足。本文提出了利用谱图与重分配谱图的直接比较来表征低截获概率跳频雷达信号的新方法
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