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.|
|Number of pages||4|
|ISBN (Electronic)||0780308050, 9780780308053|
|State||Published - 1992|
|Event||1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Victoria, Canada|
Duration: Oct 4 1992 → Oct 6 1992
|Name||Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis|
|Conference||1992 IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis|
|Period||10/4/92 → 10/6/92|
Bibliographical noteFunding Information:
‘This work was partly supported by NSF-MIP 9210230.
© 1992 IEEE.