| Paper: | SPTM-P3.9 | ||
| Session: | System Modeling, Representation and Identification | ||
| Time: | Tuesday, May 16, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: System Modeling, Representation, and Identification | ||
| Title: | A MAXIMUM ENTROPY APPROACH TO UNTRA-WIDEBAND CHANNEL MODELING | ||
| Authors: | Raul Liberato de Lacerda Neto, Aawatif Menouni, Merouane Debbah, Institut Eurecom, France; Bernard H. Fleury, Aalborg University, Denmark | ||
| Abstract: | In this paper, a unified framework for Ultra-Wideband channel (UWB channel) modeling based on the maximum entropy approach is provided. For a given set of constraints, a consistent model which takes into account the information at hand is obtained. Two cases are considered: channel energy knowledge and knowledge of the covariance matrix. The channel power delay spectrum is also derived and the impact of the channel bandwidth is assessed through information theoretic considerations. The information variation slope with respect to the bandwidth is also studied, based on wideband measurements performed at Institut Eurecom. | ||
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