Joint Channel and Carrier Estimation Using Extended Kalman Filter

Authors

  • Grzegorz Haza Institute of Telecommunications Teleinformatics and Electronics, Wrocław University of Technology

Abstract

In this paper a proposal of joint channel and carrier estimation using extended Kalman filter (EKF) is presented. For the proposed algorithm simulations are performed and the results are compared with the separate channel estimation based on the Kalman filter (KF) and carrier estimation based on the extended extended Kalman filter, EKF, joint channel and carrier estimation, synchronization, digital receiver. 

 

References

H. Meyr, M. Moeneclaey, and S. A. Fechtel, Digital Communication Receivers. John Willey & Sons, 1998.

K. Wesołowski, Podstawy cyfrowych systemow telekomunikacyjnych. Warszawa: WKL, 2003.

L. Hanzo, C. H. Wong, and M. S. Yee, Adaptive wireless transceivers. John Willey & Sons, 2002.

S. Haykin, Adaptive Filter Theory. Prentice Hall, 1997.

S. Benedetto and E. Biglieri, Principles of Digital Transmission With Wireless Applications. New York: Kluwer Academic/Plenum Publishers,1999.

J. G. Proakis, Digital Communications. New York: Mc Graw-Hill, 1996.

B. Chun and Y. H. Lee, “Design of Variable Loop Gains of Dual-Loop DPLL,” IEEE Transactions on Communications, vol. 45, no. 12, December 1997.

P. F. Driessen, “DPLL Bit Synchronizer with Rapid Acquisition Using Adaptive Kalman Filtering Techniques,” IEEE Transactions on Communications, vol. 42, no. 9, September 1994.

W. T. Lin and D. C. Chang, “Adaptive Carrier Synchronization Using Decision-Aided Kalman Filtering Algorithms,” IEEE Transactions on Consumer Electronics, vol. 53, no. 4, November 2007.

S. Haykin, Kalman Filtering and Neural Networks. Prentice Hall, 1997

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Published

2014-09-24

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