Microwave Mobile Communications
Microwave Mobile Communications
Two-Dimensional Pilot-Symbol-Aided Channel Estimation by Wiener Filtering
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 3 - Volume 3
IEEE Transactions on Wireless Communications
Polynomial spline-approximation of Clarke's model
IEEE Transactions on Signal Processing
Time-Variant Channel Estimation Using Discrete Prolate Spheroidal Sequences
IEEE Transactions on Signal Processing
Iterative Channel Estimation Based on B-splines for Fast Flat Fading Channels
IEEE Transactions on Wireless Communications
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This paper deals with data aided joint Bayesian frequency offset and frequency-flat time-variant channel estimation based on basis expansion models (BEM)s of the time variation. The approach exploits the knowledge of channel statistics, in particular, the Doppler frequency. We investigate the sensitivity of the estimator using such BEMs as Karhunen-Loève (KL), discrete prolate spheroidal (DPS), generalized complex exponential (GCE), and B-spline (BS) functions to the knowledge of the Doppler frequency. Simulation results show that for a perfectly known Doppler frequency, all the BEMs can achieve the same performance. However, the BS and GCE BEMs are more robust in the case of mismatched Doppler frequency.