Selection of window for inter-pulse analysis of simple pulsed radar signal using the short time Fourier transform

Abstract

The electronic intelligence (ELINT) system is used by the military to detect, extract information and classify incoming radar signals. This work utilizes short time Fourier transform (STFT) -time frequency distribution (TFD) for inter-pulse analysis of the radar signal in order to estimate basic radar signal time parameters (pulse width and pulse repetition period). Four well-known windows functions of different and unique characteristics were used for the localization of STFT to determine their various effects on the analysis. The window functions are Hamming, Hanning, Bartlett and Blackman window functions. Monte Carlo simulation is carried out to determine the performance of the signal analysis in presence of additive white Gaussian noise (AWGN). Results show that the lower the transition of main lobe width and higher the peak side lobe, the better the performance of the window function irrespective of time parameter being estimated. This is because 100 percent probability of correct estimation is achieved at signal to noise ratio of about -2dB for Bartlett, 4dB for both Hamming and Hanning, and 9dB for Blackman.

Analysis of Abdominal ECG Signal for Fetal Heart Rate Estimation Using Adaptive Filtering Technique

“…This is further seen in Table 1 where the optimum SNR for the estimation of each heart rate considered is shown. The spikes in Fig.8are due to unpredictable nature of the method used when the noise is very high and mostly associated with the automatic voltage measurement algorithm using threshold just like in [25] [26].…”

“…In these aforementioned papers, inter-pulse analysis of radar signals are carried out to determine the time characteristics of incoming emitter signal using smoothed instantaneous energy [25] and the short time Fourier transform [26]. Unlike this work, these methods used 50 percent threshold as opposed to the 75 percent used due to the differing nature of the noise environment, signal of interest and simulation set-up.…”

Extraction of the pulse width and pulse repetition period of linear FM radar signal using time-frequency analysis

“…Thereafter the effect of four various window functions of the short time Fourier transform (STFT) on the estimation of PW and PRP of a simple pulsed radar signal was investigated [12]. Results obtained showed that the lower the transition of main lobe width, the better the performance of the window function irrespective of time parameter being estimated.…”