Abstract
The equalization problem for rapidly varying channels is addressed, using multiresolution analysis tools. The time variations of the channel are modeled directly by expanding each time-varying (TV) tap coefficient onto a P-band wavelet basis. Only the low-resolution signal is then retained as a natural approximation of the channel's trajectory. The choice of the wavelet basis so that the approximation is optimal in the mean square sense is discussed. An algorithm based on higher-order statistics, which estimates the wavelet coefficients from output-only data, is proposed. Once the channel has been estimated, the Viterbi algorithm is used to complete this blind equalization approach.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 447-450 |
| Number of pages | 4 |
| ISBN (Electronic) | 0780308050, 9780780308053 |
| DOIs | |
| State | Published - 1992 |
| Externally published | Yes |
| Event | 1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Victoria, Canada Duration: Oct 4 1992 → Oct 6 1992 |
Publication series
| Name | Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |
|---|
Conference
| Conference | 1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |
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| Country/Territory | Canada |
| City | Victoria |
| Period | 10/4/92 → 10/6/92 |
Bibliographical note
Funding Information:‘This work was partly supported by NSF-MIP 9210230.
Publisher Copyright:
© 1992 IEEE.