Analysis and Classification of Airborne Radar Signal Types Using Time-Frequency Analysis

An Accurate Classification Method of Harmonic Signals in Power Distribution System by Utilising S-Transform

“…When the input frequency is high, ST has a better clarity in the time domain. In addition, ST offers superb time localization at high frequencies, but poor frequency localization [6]. In Figure 3, ST resolution with vertical axis shows the time resolution and the horizontal axis depicts the frequency resolution.…”

“…The spectral parameters consist of momentary RMS voltage, RMS fundamental voltage, instantaneous total TELKOMNIKA ISSN: 1693-6930  waveform distortion (TWD), instantaneous total harmonic distortion (THD), instantaneous total inter-harmonic distortion (TnHD) [6]. Below are the signal parameters that estimated from TFR.…”

“…ST is a hybrid of STFT and WT, and can be utilized to characterize the harmonic components [5]. The benefit of ST gives a great multiresolution analysis while characterizing the harmonic components [6][7][8]. …”

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

“…Recently, the instantaneous frequency (IF) estimation which is based on the concept of S max was used with the aid of other tools and theorem for signal analysis such as direction pattern [6] and Wiener-Khinchine and frequency law [8].…”

“…The time-frequency (T-F) analysis has been identified as a key signal processing tool for inter-pulse analysis, and in this case, the classical and linear but still very much in use short time Fourier transform (STFT) is utilized. Recently in the field of radar signal processing, the STFT has been used in conjunction with fractional Fourier transform (FrFT) for micro-Doppler (m-D) signal removal [5], instantaneous frequency (IF) and direction pattern algorithm for m-D signal estimation [6], independent sub-space analysis (ISA) for narrow-band interference (NBI) mitigation [7], IF and autocorrelation function for classification of airborne radar signal types [8] to mention a few. This paper provides an alternative algorithm based on STFT and its resulting peak to accurately determine the pulse width (PW) and pulse repetition period (PRP) in the presence of additive white Gaussian noise (AWGN), while also presenting the effect of the window functions (Hamming, Hanning, Bartlett and Blackman) on the analysis.…”