Frequency Estimation of Weighted Signals Based On DFT Interpolation Algorithm

DOI

10.2991/icwcsn-16.2017.99How to use a DOI?

Keywords

Discrete Fourier Transform; Normalized frequency; Parameter estimation; Zero-padding

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chang-Gui Xie
PY  - 2016/12
DA  - 2016/12
TI  - Frequency Estimation of Weighted Signals Based On DFT Interpolation Algorithm
BT  - Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)
PB  - Atlantis Press
SP  - 484
EP  - 491
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.99
DO  - 10.2991/icwcsn-16.2017.99
ID  - Xie2016/12
ER  -