@inproceedings{21ebee843d5c41b0839eb296e6ad6fd1,
title = "A Joint Time-Frequency Domain Frequency Offset Estimation Algorithm for Busrt Communication",
abstract = "This paper considers the problem of carrier synchronization in burst communication. We propose a low-complexity joint time-frequency estimation method to overcome the shortages of traditional time-domain and frequency-domain estimation algorithm. Based on Fast Fourier Transform (FFT) and autocorrelation operation, the proposed algorithm can achieve wide-range and high-precision frequency offset estimation under low signal-to-noise ratio (SNR) and reduce computational complexity. In addition, we provide a method to calculate the number of FFT points, which can effectively reduce the computational cost of the proposed algorithm while ensuring the estimation performance. The numerical results illustrate that the proposed algorithm outperforms the classical time-domain and frequency-domain frequency estimation algorithms.",
keywords = "FFT, autocorrelation, carrier frequency synchronization, frequency offset estimation",
author = "Shuofeng Wang and Qin Zhang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 3rd IEEE International Conference on Electronics Technology, ICET 2020 ; Conference date: 08-05-2020 Through 12-05-2020",
year = "2020",
month = may,
doi = "10.1109/ICET49382.2020.9119671",
language = "English",
series = "2020 IEEE 3rd International Conference on Electronics Technology, ICET 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "683--687",
booktitle = "2020 IEEE 3rd International Conference on Electronics Technology, ICET 2020",
address = "United States",
}