Extended kalman filter based frequency estimation for high dynamic environment

Tian Tian; Jianping An; Aihua Wang; Bin Xue

doi:10.4028/www.scientific.net/AMM.195-196.165

Extended kalman filter based frequency estimation for high dynamic environment

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

^*Corresponding author for this work

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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
Title of host publication	Mechanical Engineering and Intelligent Systems
Pages	165-169
Number of pages	5
DOIs	https://doi.org/10.4028/www.scientific.net/AMM.195-196.165
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
Volume	195-196
ISSN (Print)	1660-9336
ISSN (Electronic)	1662-7482

Conference

Conference	2012 International Conference on Mechanical Engineering and Intelligent Systems, ICMEIS 2012
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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10.4028/www.scientific.net/AMM.195-196.165

Cite this

@inproceedings{93288b02a18643fdb496d9efab633bf1,

title = "Extended kalman filter based frequency estimation for high dynamic environment",

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.",

keywords = "Carrier recovery, Extended kalman filter, High dynamic, Low carrier-to-noise ratio",

author = "Tian Tian and Jianping An and Aihua Wang and Bin Xue",

year = "2012",

doi = "10.4028/www.scientific.net/AMM.195-196.165",

language = "English",

isbn = "9783037854693",

series = "Applied Mechanics and Materials",

pages = "165--169",

booktitle = "Mechanical Engineering and Intelligent Systems",

note = "2012 International Conference on Mechanical Engineering and Intelligent Systems, ICMEIS 2012 ; Conference date: 25-08-2012 Through 26-08-2012",

}

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. Applied Mechanics and Materials, vol. 195-196, pp. 165-169, 2012 International Conference on Mechanical Engineering and Intelligent Systems, ICMEIS 2012, Beijing, China, 25/08/12. https://doi.org/10.4028/www.scientific.net/AMM.195-196.165

TY - GEN

T1 - Extended kalman filter based frequency estimation for high dynamic environment

AU - Tian, Tian

AU - An, Jianping

AU - Wang, Aihua

AU - Xue, Bin

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Carrier recovery

KW - Extended kalman filter

KW - High dynamic

KW - Low carrier-to-noise ratio

UR - http://www.scopus.com/inward/record.url?scp=84867252371&partnerID=8YFLogxK

U2 - 10.4028/www.scientific.net/AMM.195-196.165

DO - 10.4028/www.scientific.net/AMM.195-196.165

M3 - Conference contribution

AN - SCOPUS:84867252371

SN - 9783037854693

T3 - Applied Mechanics and Materials

SP - 165

EP - 169

BT - Mechanical Engineering and Intelligent Systems

T2 - 2012 International Conference on Mechanical Engineering and Intelligent Systems, ICMEIS 2012

Y2 - 25 August 2012 through 26 August 2012

ER -

Extended kalman filter based frequency estimation for high dynamic environment

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Keywords

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