Channel estimation for OFDM systems using Kalman filter algorithm

Authors:
A. Visakh;Navneet Upadhyay
Affiliations:
Birla Institute of Technology and Science Pilani, India;Birla Institute of Technology and Science Pilani, India
Venue:
Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
Year:
2011

Citing 4
Cited 0

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Pilot-Assisted Time-Varying Channel Estimation for OFDM Systems

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Performance of channel estimation methods for OFDM systems in a multipath fading channels

IEEE Transactions on Consumer Electronics

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Abstract

This paper presents the Kalman filter (KF) based channel estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems. The cyclic prefix (CP) portion of the OFDM symbols is used for extracting the channel state information. The KF algorithm computes a channel estimate based on the information contained in the cyclic prefix. This channel estimation algorithm is compared with the classical least squares (LS) estimation approach. The simulation result shows that the KF algorithm outperforms then LS method. Absence of pilot signals and better adaptability to channel variations are other advantages of the KF method.