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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tong, L. Xu, G. Kailath, T. |
| Copyright Year | 1991 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., West Virginia Univ., Morgantown, WV, USA (Tong, L.) |
| Abstract | A novel blind channel identification and equalization method is proposed by exploiting the cyclostationarity of communication signals. Identification and equalization of possibly nonminimum phase multipath channels are achieved without using training signals. Unlike most of the adaptive blind equalization methods for which the convergence properties are often problematic, the eigenstructure-based channel estimation algorithm proposed here is asymptotically exact. Based on the second-order properties, the proposed approach identifies nonminimum phase channels and achieves equalization with fewer samples than most techniques based on higher-order statistics. Simulations demonstrate the promising performance of the proposed algorithm in a blind equalization of a three-ray multipath channel. |
| Starting Page | 856 |
| Ending Page | 860 |
| File Size | 334083 |
| Page Count | 5 |
| File Format | |
| ISBN | 0818624701 |
| ISSN | 10586393 |
| DOI | 10.1109/ACSSC.1991.186568 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-11-04 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Blind equalizers Multipath channels Convergence Signal processing Adaptive equalizers Higher order statistics Wireless communication Intersymbol interference Mobile communication Jitter |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Computer Networks and Communications |
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