Optimized training and basis expansion model parameters for doubly-selective channel estimation

We address the problem of estimating doubly-selective channels using pilot clusters that are time-division multiplexed with the data. The pilot clusters consist of zero-padded pilot symbols in order to decouple channel estimation from data detection. Channel estimation is carried out using the basis...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2009-03, Vol.8 (3), p.1490-1498
Main Authors: Whitworth, T., Ghogho, M., McLernon, D.
Format: Article
Language:English
Subjects:
Applied sciences
basis-expansion model
Bit error rate
Boundary element method
Channel estimation
Channels
Clusters
Design optimization
Detection, estimation, filtering, equalization, prediction
doubly selective
Error detection
Estimation error
Exact sciences and technology
Finite impulse response filter
Frequency
Information, signal and communications theory
Mathematical models
Multiplexing
Pilots
Radiocommunications
Signal and communications theory
Signal, noise
Statistics
Studies
Symbols
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
time-varying
Time-varying channels
Transmission and modulation (techniques and equipments)
Transmitters
Transmitters. Receivers
Uncertainty
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Summary:We address the problem of estimating doubly-selective channels using pilot clusters that are time-division multiplexed with the data. The pilot clusters consist of zero-padded pilot symbols in order to decouple channel estimation from data detection. Channel estimation is carried out using the basis expansion model (BEM-)based method, where different BEMs are investigated, and the exact MMSE method which requires full knowledge of the channel statistics. For a fixed number of pilot symbols, we attempt to optimize the power and placement of the pilot symbols at the transmitter side used in transmission, and the number of BEM coefficients used in channel estimation, in the sense of minimizing the total mean-square estimation error (MSE) that includes modelling error. Simulation results confirm that for a wide range of SNR and Doppler spread values, this optimization greatly reduces the MSE and the bit-error rate, and that modelling error, which was ignored in existing work on training design, should be taken into account. The effects of uncertainty in the channel statistics are also studied.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2009.080364