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Determination of the pulse repetition interval (PRI) agility of an incoming radar emitter signal using instantaneous power analysis

机译:使用瞬时功率分析确定入射雷达发射器信号的脉冲重复间隔(PRI)敏捷性

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Determining the level of pulse repetition interval (PRI) agility is important in the field of Electronic Intelligence (ELINT) in order to provide warning receiver and jammers with the appropriate information in order to take action. This paper uses smoothed instantaneous power in order to estimate the PRIs of an incoming radar emitter signal. The test signals considered for this work is made up of simple pulsed and staggered PRI radar signal of various intervals and position. The algorithm designed uses the Hilbert transform to obtain the analytic version of the incoming signal before the Hamming smoothed instantaneous power is applied to the signal. Thereafter, first, second and third PRI are obtained and used to form rules for the rule-based Classifier. The rule-based classifier classifies the signals in order to determine the level of PRI agility. Performance analysis is carried out in the presence of additive white Gaussian noise (AWGN) for 100 iterations. Results obtained showed that a 100 percent probability of correct classification is obtained at signal-to-noise ratio (SNR) equal or greater than 3dB irrespective of the incoming signal.
机译:确定脉冲重复间隔(PRI)敏捷性的水平在电子智能(elint)领域很重要,以便为具有适当信息提供警告接收器和干扰,以便采取行动。本文采用平滑的瞬时功率,以估计进入雷达发射极信号的PRI。考虑该工作的测试信号由各种间隔和位置的简单脉冲和交错的PRI雷达信号组成。设计使用HILBERT变换来获得进入信号的分析版本,然后在汉明平滑瞬时电源应用于信号之前。此后,获得第一,第二和第三PRI并用于形成基于规则的分类器的规则。基于规则的分类器对信号进行分类,以便确定PRI敏捷性的级别。在100个迭代的添加白色高斯噪声(AWGN)存在下进行性能分析。得到的结果表明,与输入信号相等或大于3DB的信噪比(SNR)获得100%的正确分类概率。

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