Frequency Estimation of Weighted Signals Based On DFT Interpolation Algorithm
Available Online December 2016.
- https://doi.org/10.2991/icwcsn-16.2017.99How to use a DOI?
- Discrete Fourier Transform; Normalized frequency; Parameter estimation; Zero-padding
- 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.
- 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 -