Myopic channel identification: identifying unknown channels based on known pulse shapes
- 19 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 670-674
- https://doi.org/10.1109/glocom.1995.502013
Abstract
Blind channel identification has become a popular research subject. In this paper, we present the concept of myopic channel identification: blind channel identification based on known parts of the overall channel. By relying on known information such as pulse shaping filter and the anti-aliasing filter responses, the performance of channel identification and equalization can be significantly enhanced for digital communication systems. We present simple methods designed for time-domain and frequency domain implementations. Our simulation results demonstrate the performance of these approaches.Keywords
This publication has 4 references indexed in Scilit:
- Improved performance of blind equalization using prior knowledge of transmitter filterPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Subspace methods for the blind identification of multichannel FIR filtersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Blind identification and equalization based on second-order statistics: a time domain approachIEEE Transactions on Information Theory, 1994
- Exploitation of spectral redundancy in cyclostationary signalsIEEE Signal Processing Magazine, 1991