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Direct-Lattice Adaptive Notch Filter for Frequency Estimation and Tracking
Author(s)
Inban, P.
Punchalard, R.
Benjangkaprasert, C.
Date Issued
January 1, 2022
Type
Conference Paper
Abstract
This paper presents a direct-lattice adaptive notch filter (DLANF) for frequency estimation and tracking. The proposed filter is the cascade of an all-pole direct form structure filter with an all-zero lattice predictor. The normalized gradient algorithm is used to adjust the filter parameter. This technique outperforms some conventional adaptive filters in terms of convergence time and provides a small mean square error (MSE). Computer simulations are conducted to show the superiority of the proposed filter.
Citation
Proceedings of 2022 Asia Pacific Signal and Information Processing Association Annual Summit and Conference Apsipa ASC 2022, 478-481, 2022
