@inproceedings{9b80f5871ce14d669c9469d6effee590,
title = "Phase Noise Estimation In Time Domain For OFDM System",
abstract = "The Orthogonal Frequency Division Multiplexing (OFDM) system is sensitive to the phase noise (PN), which is usually generated by various radio frequency (RF) devices. The PN leads to the common phase error (CPE) and inter-carrier interference (ICI), which breaks the orthogonality among subcarriers and degrades the performance of the system. In this paper, the maximum a posteriori-Gaussian elimination (MAP-GE) method is proposed. The PN is modeled as the Wiener process and the maximum a posteriori (MAP) estimation criterion is derived for the joint estimation of transmitted signals and PN based on the Bayesian theory. In addition, the linear approximation of MAP estimation is equivalent to solving a tridiagonal linear equation, which can be solved exactly by the Gaussian elimination (GE) method with low complexity. The simulation results demonstrate the superiorities of the proposed method in terms of high accuracy and low computation consumption.",
keywords = "Gaussian Elimination, MAP, OFDM, Phase Noise, Tridiagonal Linear Equation, Wiener Process",
author = "Heng Du and Jiang Xue and Qihong Duan",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 14th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2022 ; Conference date: 01-11-2022 Through 03-11-2022",
year = "2022",
doi = "10.1109/WCSP55476.2022.10039360",
language = "英语",
series = "2022 IEEE 14th International Conference on Wireless Communications and Signal Processing, WCSP 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "961--966",
booktitle = "2022 IEEE 14th International Conference on Wireless Communications and Signal Processing, WCSP 2022",
}