Pulse-To-Pulse Time-Frequency Analysis of an Agile Pulsed Radar Signal Using the Spectrogram Distribution

A. S. Saliu, A. A. Ahmad, A. M. S. Tekanyi, O. E. Eguaroje, J. B. Ayeni

Abstract


In recent times, electronic technology plays an increasingly important role in military operations. New forms of radar signal waveforms are constantly being designed for military applications with unique characteristics in order to prevent their detection. As such, better signal processing tool is required in field of electronic warfare support (ES) to analyze the intercepted emitted signal for the detections of its radar capabilities. An algorithm set is developed in this paper based on spectrogram time-frequency distribution (TFD) in order to estimate and classify the time and frequency characteristics of an agile pulsed modulated radar signal. Other related digital signal processing tools such as Hilbert transform, instantaneous frequency (IF) and instantaneous power (IP) were also used in order to achieve the objective of this work. Performance analysis of the estimations was validated using Monte Carlo simulation performed at various ranges of signal-to-noise ratios (SNRs) in the presence of additive white noise of Gaussian probability density function. Results obtained showed probability of correct parameter estimation (POCPE) of 100% is achieved at minimum SNR of -4dB irrespective of the parameter being estimated. Estimation results obtained at this good SNR shows the algorithm developed can be deployed in the practical EW field.


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