Paper: | SPCOM-P9.9 | ||
Session: | (Semi)blind Techniques II | ||
Time: | Thursday, May 20, 15:30 - 17:30 | ||
Presentation: | Poster | ||
Topic: | Signal Processing for Communications: Wireless Access and Networking | ||
Title: | AN ITERATIVE METHOD FOR IMPROVED TRAINING-BASED ESTIMATION OF DOUBLY SELECTIVE CHANNELS | ||
Authors: | Olivier Rousseaux; Katholieke Universiteit Leuven | ||
Geert Leus; Delft University of Technology | |||
Abstract: | A new approach has been proposed recently to describe doubly-selective channels (i.e. time- and frequency-selective channels) with a limited number of parameters referred to as the Basis Expansion Model (BEM). In the BEM, the true channel coefficients are approximated with a high accuracy using a limited number of complex exponentials. In this paper, we propose a new method in order to identify the BEM coefficients of the transmission channel. We consider a transmission scheme where several short training sequences (i.e. their length is comparable to the channel order) are inserted in the stream of data symbols. We propose an iterative method that exploits all the received symbols that contain contributions from the training sequences and blindly filters out the contribution of the unknown surrounding data symbols. The proposed method has a low computational complexity and outperforms existing methods proposed in a similar context. | ||
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