DocumentCode
3604047
Title
Frequency Guided Generalized Adaptive Notch Filtering—Tracking Analysis and Optimization
Author
Meller, Michal
Author_Institution
Dept. of Autom. Control, Gdansk Univ. of Technol., Gdańsk, Poland
Volume
63
Issue
22
fYear
2015
Firstpage
6003
Lastpage
6012
Abstract
Generalized adaptive notch filters (GANFs) are estimators of coefficients of quasi-periodically time-varying systems, encountered e.g., in RF applications when Doppler effect takes place. Current state of the art GANFs can deliver highly accurate estimates of system variations´ frequency, but underperform in terms of accuracy of system coefficient estimates. The paper proposes a novel multistage GANF with improved coefficient tracking properties and smaller sensitivity to choice of estimation gains. The processing pipeline consists of three stages. First, a pilot filter computes preliminary frequency estimates. Second, a special linear filter reshapes the pilot frequency estimates. Third, a frequency guided GANF works out final estimates of system coefficients. A nontrivial design of the second stage filter assures that the proposed solution has a considerably better performance than current stage of the art solutions or a simpler two-stage approach consisting of the pilot and the frequency guided filter only.
Keywords
Doppler effect; adaptive filters; adaptive signal processing; frequency estimation; notch filters; optimisation; tracking; Doppler effect; adaptive signal processing; coefficient tracking properties; estimation gains; frequency guided GANF; frequency guided generalized adaptive notch filtering; linear filter; multistage GANF; nontrivial second stage filter design; preliminary frequency estimate computation; quasi-periodically time-varying systems; system coefficient estimates; tracking analysis; tracking optimization; Accuracy; Adaptive systems; Estimation; Frequency estimation; Mathematical model; Noise; Signal processing algorithms; Generalized adaptive notch filters; adaptive signal processing; estimation algorithms;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2015.2461522
Filename
7169605
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