Abstract
In this paper, we have considered a frequency tracking method based on Extended Kalman Filtering (EKF). The method uses a state space model to estimate and track the frequency of a harmonic signal embedded in broad-band noise. This signal is generally characterized by time-varying frequency and amplitude (nonstationary noisy harmonic signal). In this paper we have proposed a new state-space model for estimate and track the frequency of such nonstationary signals. The conventional EKF frequency trackers are typically characterized by a vector of three tuning parameters. With some assumptions and without any performance loss, we have proposed an EKF frequency tracker that only uses one tuning parameter. This simplification allows an easier and more transparent tuning of the EKF tracking behaviour.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
