A Filter Bank and a Self-Tuning Adaptive Filter for the Harmonic and Interharmonic Estimation in Power Signals

We present a method that combines a filter bank (FB) system with adaptive filtering to estimate parameters describing the harmonics and the interharmonics present in power signals. The proposed method decomposes the input power signal using an FB system that is a modular binary tree structure with the fundamental FBs arranged successively in each stage. The fundamental FB is designed to separate the odd and even harmonics to reduce spectral leakage. An adaptive filter is used to improve the accuracy of parameter estimation for each decomposed harmonic. Parameters describing the interharmonic components are estimated from the error signal of the adaptive filter, which is self-tuning. The estimation of the amplitude and frequency of each of the harmonic and interharmonic components is done recursively. Computer simulations were performed on synthesized signals to assess the performance of the method.