@inproceedings{1f07089bf5c74a8bbf35859075da96b3,
title = "An Improved Central Frequency Estimation Method for Frequency-Hopping Signal",
abstract = "Time-frequency analysis is the major method to estimate the central frequency of frequency hopping signals. There is always a trade-off between computational complexity and estimation precision. An approach based on frequency difference and one-dimensional non-linear filter has been proposed. Firstly, the frequency ridge line is extracted base on the phase difference of the adherent complex points. Then, aided by median filter, the robustness against white Gaussian noise has been enhanced. Simulation shows that, the proposed method is 5 dB better than current method in accuracy and precision when SNR is greater than 13 dB. Computational complexity be- tween different method has been analyzed.",
keywords = "central frequency estimation, frequency hopping, median filter",
author = "Jining Xie and Shujuan Hou and Qin Zhang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019 ; Conference date: 12-07-2019 Through 14-07-2019",
year = "2019",
month = jul,
doi = "10.1109/ICPICS47731.2019.8942456",
language = "English",
series = "2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "250--253",
booktitle = "2019 IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2019",
address = "United States",
}
