Algorithm for the Estimation of Time and Frequency Parameters of a Simple Pulsed Radar Signal

Abstract

In the field of Electronic Warfare (EW), the military make use of new forms of radar signal waveforms for security purpose in order to conceal some of its characteristics. As such, better signal processing tool is required to analyze the emitted signal for the detections of radar capabilities. An algorithm is developed in this paper based on time-frequency technique in order to estimate time and frequency parameter of the conventional simple pulsed radar signal. The Time-Frequency Distribution (TFD) used in this work is the spectrogram, the square magnitude of short-time Fourier Transform (STFT), with the aid of other statistical signal processing tools such as Hilbert transform, Instantaneous Frequency (IF) and Instantaneous Power (IP) in order to achieve the objective of this work. The appropriate functions in MATLAB R2014a that involved parameter estimation and of this aforementioned signal were used to implement the algorithms. The estimation and accuracy were validated using Monte Carlo simulation performed at various ranges of Signal-to-Noise Ratios (SNRs) in the presence of noise modeled by the Additive White Gaussian Noise (AWGN). Results obtained showed Probability of Correct Parameter Estimation (POCPE) of 100% at SNR equal or greater than XXdB for time-based parameters estimation and SNR equal or greater than XXdB for frequency-based parameter estimation is achieved.