Adaptive Notch Filters for Prediction of Narrow Band Signals

N. M'Sirdi (1) , Antoine Monneau , Aziz Naamane (2)

1 LIS - Laboratoire d'Informatique et Systèmes
2 LSIS - Laboratoire des Sciences de l'Information et des Systèmes

This paper proposes efficient structures of Adaptive Notch Filters (ANF) implemented as constrained ARMA models. These ANF suit very well for fast frequencies tracking and evolutionary spectrum analysis for narrow band and sinusoidal signals in additive noise. Lastly, non-stationary ANF are considered and an estimation procedure implemented.

Keywords: Non-stationary systems; Frequency; Narrow band; Spectrum Analysis methods; Adaptive Notch Filter; ANC

Domains: Automatic

N. M'Sirdi, Antoine Monneau, Aziz Naamane. Adaptive Notch Filters for Prediction of Narrow Band Signals. EFEA 2018 September 24 - 26 in Rome, Italy, Sep 2018, Valencia, Italy. ⟨hal-01956284⟩