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Paper data
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Title:
Kalman Smoothing Based Channel Estimation for Space-Time Block Coding

Author(s):
Enescu Mihai, Signal Processing Laboratory, Helsinki University of Technology
Koivunen Visa, Signal Processing Laboratory, Helsinki University of Technology

Page numbers in the proceedings:
Volume I pp 649-652

Session:
Channel Estimation and Equalization

Paper abstract
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This paper addresses the problem of channel estimation and tracking for space-time block coding. The coding/decoding technique allows using Kalman smoothing in estimating time-selective fading channels. In the simulations it is shown that this technique can preserve the orthogonality property of the decoding matrix even for time-selective channels. A realistic channel model described in COST 207 project is used in our examples.

Paper
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A PDF version is available here

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