Non-data-aided Extended Kalman Filter based carrier tracking loop in high dynamic environment

被引：0
作者：
机构：
[1] School of Information and Electronics, Beijing Institute of Technology
[2] Science and Technology on Information Transmission and Dissemination in Communication Networks Lab., The 54th Research Institute of CETC
来源：
Wang, A.-H. (wah@bit.edu.cn) | 2013年 / Science Press卷 / 35期
关键词：
Carrier tracking; Extended Kalman Filter (EKF); Global Positioning System (GPS); High dynamic; Low signal-to-noise ratio; Symbol decision;
D O I：
10.3724/SP.J.1146.2012.00012
中图分类号：
学科分类号：
摘要：
This paper proposes a new carrier tracking loop based on Extended Kalman Filter (EKF) with no data aided in low Signal-to-Noise Ratio (SNR) and high dynamic environment. It utilizes the outputs of accumulator after symbol decision as the observation matrix of EKF. With this method, the restriction generated by using discriminators in low SNR can be avoided. The simulations show that the structure proposed has excellent characteristics compared with Phase Lock Loop (PLL) and linear Kalman Filter (KF) assisted with phase discriminator.
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页码：63 / 67
页数：4
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