(This course is deactivated since 2021.)
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Introduction
We discuss techniques for signal separation and parameter estimation, using arrays of sensors, and applied to wireless communications. We start by deriving a signal processing model of the wireless channel. We then recall useful tools from linear algebra: QR, SVD, eigenvalue decompositions, projections. This gives us tools to discuss some more elementary receivers: the matched filter, the Wiener filter. Then we discuss important applications: estimation of angles and delays using ESPRIT, adaptive space-time filters, the constant modulus algorithm. Finally, we look at OFDM and CDMA systems and see how the above techniques can be applied to this.
Information |
Schedule |
Course reader |
Course sheets |
Homeworks |
Matlab primer |
Instructors
Geert Leus//------------------------------------------------------------------ include BASE.'/common1/preamble_right.php'; // start right panel (4/12 width) //------------------------------------------------------------------ show_image("/shared/Courses/et4147.jpg"); //------------------------------------------------------------------ include BASE.'/common1/postamble_right.php'; // end of right panel //------------------------------------------------------------------ include BASE.'/common1/footer.php'; // footers //------------------------------------------------------------------ ?>