Input sequence estimation and blind channel identification in HF communication
Miled, B. H.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
IEEE, Piscataway, NJ, United States
2705 - 2708
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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.
Communication channels (information theory)
Digital communication systems
Probability density function
Blind channel identification
High frequency communication
Input sequence estimation
Signal filtering and prediction