Input sequence estimation and blind channel identification in HF communication
Date
2000Source Title
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, IEEE 2000
Print ISSN
0736-7791
Publisher
IEEE
Pages
2705 - 2708
Language
English
Type
Conference PaperItem Usage Stats
179
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Abstract
A new algorithm is proposed for reliable communication over HF tropospheric links in the presence of rapid channel variations. In the proposed approach, using fractionally space channel outputs, sequential estimation of channel characteristics and input sequence is performed by utilizing subspace tracking and Kalman filtering. Simulation based comparisons with the existing algorithms show that the proposed approaches significantly improve the performance of the communication system and enable us to utilize HF communication in bad conditions.
Keywords
AlgorithmsCommunication channels (information theory)
Digital communication systems
Interpolation
Kalman filtering
Matrix algebra
Probability density function
Satellite links
White noise
Blind channel identification
High frequency communication
Input sequence estimation
Subspace tracking
Signal filtering and prediction