Extended kalman filter based frequency estimation for high dynamic environment

Tian Tian*, Jianping An, Aihua Wang, Bin Xue

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Suppressing jitter noises and keep precise track is of great importance in coherent communication systems. This paper proposes and analyzes a new extended kalman filter (EKF) based carrier recovery loop for high dynamic and low carrier-to-noise ratio environment. In this algorithm, EKF filter take the phase error between input signal and local oscillator and has a simple measurement equation. Simulations show that the method is feasible and has good performance.

源语言英语
主期刊名Mechanical Engineering and Intelligent Systems
165-169
页数5
DOI
出版状态已出版 - 2012
活动2012 International Conference on Mechanical Engineering and Intelligent Systems, ICMEIS 2012 - Beijing, 中国
期限: 25 8月 201226 8月 2012

出版系列

姓名Applied Mechanics and Materials
195-196
ISSN(印刷版)1660-9336
ISSN(电子版)1662-7482

会议

会议2012 International Conference on Mechanical Engineering and Intelligent Systems, ICMEIS 2012
国家/地区中国
Beijing
时期25/08/1226/08/12

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