Paper data
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
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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