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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Karami, M. Olfat, A. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Tehran Univ., Tehran (Karami, M.; Olfat, A.) |
| Abstract | In cyclic-prefixed communication systems, if the delay spread of the channel is longer than the cyclic prefix (CP) a channel-shortening equalizer (CSE) can be used to restore the desired operation of such systems. Since in time-varying environment we are interested in fast adaptive equalizer with tracking capability, the aim of this paper is to propose RLS-type algorithm for channel shortening. In this paper, we first propose an RLS-type algorithm to estimate the eigenvector corresponding to the smallest eigenvalue of a matrix and based on this algorithm we develop an RLS-type blind channel shortener. We also, based on PAST algorithm, propose an RLS-type update rule to shorten the channel under MMSE criterion. Simulations show the speed advantage of the proposed algorithms. |
| Starting Page | 2621 |
| Ending Page | 2625 |
| File Size | 274119 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424416448 |
| ISSN | 15502252 |
| DOI | 10.1109/VETECS.2008.575 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-11 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Signal processing algorithms OFDM Nonlinear filters Equalizers Eigenvalues and eigenfunctions Finite impulse response filter Signal processing Adaptive signal processing Laboratories Delay systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Electrical and Electronic Engineering Computer Science Applications |
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