Joint Channel and Carrier Estimation Using Extended Kalman Filter

Grzegorz Haza

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. 

 


Full Text:

PDF

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


Refbacks

  • There are currently no refbacks.


International Journal of Electronics and Telecommunications
is a periodical of Electronics and Telecommunications Committee
of Polish Academy of Sciences

eISSN: 2300-1933