Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Frequency Estimation of Weighted Signals Based On DFT Interpolation Algorithm

Authors
Chang-Gui Xie
Corresponding Author
Chang-Gui Xie
Available Online December 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.99How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chang-Gui Xie
PY  - 2016/12
DA  - 2016/12
TI  - Frequency Estimation of Weighted Signals Based On DFT Interpolation Algorithm
PB  - Atlantis Press
SP  - 484
EP  - 491
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.99
DO  - https://doi.org/10.2991/icwcsn-16.2017.99
ID  - Xie2016/12
ER  -