Inter-Pulse Analysis of Airborne Radar Signals Using Smoothed Instantaneous Energy

Abstract

This paper investigates the effect of five window functions on the smoothing of the less computationally complex instantaneous energy for the estimation of time parameters of three radar signals in the presence of additive white Gaussian noise (AWGN). The windows considered, all of one variable parameter (N) are rectangular, Hamming, Hanning, Bartlett and Blackman. Simulation results show that the rectangular window that possesses widest main lobe width performs best while Blackman window of narrowest main lobe width performs poorest. In addition, 100% percent probability of time parameters estimation is achieved at signal-to-noise ratio (SNR) of 4dB for simple modulated pulse signal, -1dB for staggered pulsed signal and 5dB for linear frequency modulated signal in the worst case window scenario.