Dynamic Underwater Acoustic Channel Tracking for Correlated Rapidly Time-Varying Channels
نویسندگان
چکیده
In this work, we focus on the model-mismatch problem for model-based subspace channel tracking in correlated underwater acoustic channel. A model based channel's correlation can be used as state-space Kalman filter to improve compared that without a model. Even though data support assumption is slow-varying and uncorrelated some degree, performance further, not ignore because most models encounter Therefore, provide dynamic time-variant tracking. This tolerant slight after decorrelation. Moreover, forward-backward combined further performance. The of our proposed algorithm demonstrated with same at-sea conventional Compared algorithms, shows significant improvement, especially rough sea conditions which channels are fast-varying.
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1 Faculty of Electrical Engineering, Mathematics, and Computer Science, Delft University of Technology, Mekelweg 4, 2628CD Delft, The Netherlands 2Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455, USA 3Philips Research, 5656 AA Eindhoven, The Netherlands 4 School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3069336