@inproceedings{fa8c3ccf497e48ac8ef74037e85caeba,
title = "Fast algorithm for parameter estimation of LFM signals under low SNR",
abstract = "LFM is a typical non-stationary signal and had long been widely used in modern radar and communication system. A new algorithm based on STFT transformation is presented in order to attain fast and accurate estimation of LFM modulation parameters under low SNR. Long window length was employed in STFT to enhance LFM signal, and then shift frequency and accumulate energy based on STFT result to measure FM rate coarsely. Finally, appropriate short window length and search step were employed to search FM rate finely in order to estimate parameter accurately. The proposed method not only reduce the computation but also improve precision of estimating and it is easy to implement.",
keywords = "LFM, Low SNR, Parameter Estimation, STFT",
author = "Qiang Chen and Yunjie Li and Mengtao Zhu",
note = "Publisher Copyright: {\textcopyright} 2017 Author(s).; 1st International Conference on Materials Science, Energy Technology, Power Engineering, MEP 2017 ; Conference date: 15-04-2017 Through 16-04-2017",
year = "2017",
month = may,
day = "8",
doi = "10.1063/1.4982576",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics Inc.",
editor = "Jun Xiao and Zhibin You and Zhihui Tan",
booktitle = "Materials Science, Energy Technology, and Power Engineering I",
address = "United States",
}