Abstract
Based on the linear prediction property of sinusoidal signals, a new adaptive method is proposed for frequency estimation of a real tone in white noise. Using the least mean square approach, the estimator is computationally efficient and it provides unbiased and direct frequency measurements on a sample-by-sample basis. Convergence behaviour of the estimated frequency is analysed and its variance in white Gaussian noise is derived. Computer simulations are included to corroborate the theoretical analysis and to show its comparative performance with two adaptive frequency estimators in non-stationary environments.
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.
