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      • Department of Electrical and Electronics Engineering
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      Input sequence estimation and blind channel identification in HF communication

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      Author(s)
      Khames, Mariam
      Miled, B. H.
      Arıkan, Orhan
      Date
      2000
      Source 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 Paper
      Item Usage Stats
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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
      Algorithms
      Communication 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
      Permalink
      http://hdl.handle.net/11693/27644
      Published Version (Please cite this version)
      https://doi.org/10.1109/ICASSP.2000.861045
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      • Department of Electrical and Electronics Engineering 3702
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