Harmonic Analysis Based on Blackman-Harris Self-Convolution Window

Abstract

This paper presents a method of harmonic analysis -- Blackman-Harris self-convolution window harmonic analysis method. Self-convolution window has lower side lobe and decays faster, analyze its performance and compare it with Blackman Window, Blackman-Harris window and Hanning window, calculation formula of frequency, amplitude and initial angle of the fundamental wave and every harmonic are deduced with the phase difference correction algorithm. Blackman-Harris self-convolution window has an excellent side lobe performance, which can effectively suppress the effect of spectrum leakage, embedded systems is easy to implement with spectrum phase difference correction algorithm. Simulation results show that: for Blackman-Harris self-convolution window function, there is a good effect of suppressing spectral leakage, the accuracy of harmonic parameters analysis is better than the classical window function.