Frequency Estimation Using Top-Hat Transforms

Abstract

In signal processing, frequency estimation is an important step to detect and analyse power quality disturbances. In general, conventional strategies based on Fourier transforms have been applied for this purpose. In this paper, a new strategy in estimating the frequency of the signal in time domain is presented. This proposed strategy is based on top-hat transforms. The signal is processed using both transforms, then the results are compared to find the frequency estimation of the signal. By simulating this strategy using Matlab, the results show good estimation for noise-free signal and signal with SNR at higher than 30dB. The accuracy of the results decreases when analysing the signal with SNR less than 30dB