A Novel Frequency Estimation of Sinusoid by iterative interpolation DFT algorithm
Chao Huang, Jidong Suo, Guiming Shi
Available Online March 2016.
- 10.2991/icmmct-16.2016.87How to use a DOI?
- Frequency estimation, polarity estimation, Discrete Fourier transform, Iterative interpolation, Cramer-Rao low bound.
The frequency estimation of sinusoidal signal based on discrete fourier transform (DFT) is investigated, which performance is caused to decline due to the error of interpolation direction when the signal frequency is close to quantized frequency of DFT. To solve this problem, a new algorithm without weighting window is proposed. Firstly, a coarse frequency estimation in DFT spectrum is acquired, then a high-accuracy frequency near the coarse frequency by iterative interpolation is estimated. The simulation results show that errors caused by a mistaken location of the spectral line can be significantly reduced and the algorithm is simple and has good performance in mean square error and accuracy.
- © 2016, 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/).
Cite this article
TY - CONF AU - Chao Huang AU - Jidong Suo AU - Guiming Shi PY - 2016/03 DA - 2016/03 TI - A Novel Frequency Estimation of Sinusoid by iterative interpolation DFT algorithm BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 427 EP - 431 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.87 DO - 10.2991/icmmct-16.2016.87 ID - Huang2016/03 ER -