@inproceedings{b0f5557f499442159671e18d84153b4c,
title = "Time-frequency ridge-based parameter estimation for sinusoidal frequency modulation signals",
abstract = "In this paper, the time-frequency (TF) ridge technique is employed to obtain the accurate parameters estimation of the sinusoidal frequency modulation (SFM) signals. By extracting the TF ridge, a high energy-concentrated time-frequency representation (TFR) of the given signal can be obtained. And then a TF ridge-based method for estimating parameters of the SFM signal is proposed. The advantages of this method over the S-method-based method are (1) it can be easily implemented, (2) it costs less computation and storage space, and (3) it has a high precision. Numerical results provided in this paper show the superiority of the novel method.",
keywords = "Parameter estimation, Ridge, SFM signal, Time-frequency",
author = "Zhaofa Wang and Yong Wang and Liang Xu",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",
year = "2019",
doi = "10.1007/978-981-10-6571-2\_165",
language = "英语",
isbn = "9789811065705",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "1375--1380",
editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}