Abstract
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.
Original language | English |
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Title of host publication | Mechanical Engineering and Intelligent Systems |
Pages | 165-169 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 2012 |
Event | 2012 International Conference on Mechanical Engineering and Intelligent Systems, ICMEIS 2012 - Beijing, China Duration: 25 Aug 2012 → 26 Aug 2012 |
Publication series
Name | Applied Mechanics and Materials |
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Volume | 195-196 |
ISSN (Print) | 1660-9336 |
ISSN (Electronic) | 1662-7482 |
Conference
Conference | 2012 International Conference on Mechanical Engineering and Intelligent Systems, ICMEIS 2012 |
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Country/Territory | China |
City | Beijing |
Period | 25/08/12 → 26/08/12 |
Keywords
- Carrier recovery
- Extended kalman filter
- High dynamic
- Low carrier-to-noise ratio
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Tian, T., An, J., Wang, A., & Xue, B. (2012). Extended kalman filter based frequency estimation for high dynamic environment. In Mechanical Engineering and Intelligent Systems (pp. 165-169). (Applied Mechanics and Materials; Vol. 195-196). https://doi.org/10.4028/www.scientific.net/AMM.195-196.165