Frequency Estimation of Weighted Signals Based On DFT Interpolation Algorithm

Abstract

Abstract-It is generally demanded for strict frequency estimation of sinusoidal signal in a good many engineering practice situations. This paper puts forward an iterative frequency estimation algorithm on strength of the interpolation of Fourier coefficients of weighted samples. The algorithm is practically believed to be almost applicative for all regular window functions. Systematic errors of a variety of windows are given in this paper, and the proposed algorithm's performance is examined and verified with occurrence of white Gaussian noise. The outcomes of simulation identify that it could be significantly lessened for errors touched off by the mistaken location of spectral line. It is direct and candid to implement the proposed algorithm with high precision, benign compatibility and favorable robustness to additive noise, which altogether endow it a perfect algorithm to strictly estimate the frequency of spectral analysis.