Title :
Adaptive Tracking of a Noisy Sinusoid/Chirp with Unknown Parameters
Author :
Malik, Mohammad Bilal ; Salman, Muhammad
Author_Institution :
Coll. of Electr. & Mech. Eng., Nat. Univ. of Sci. & Technol.
Abstract :
This paper presents an adaptive algorithm to track a sinusoid/chirped signal buried in additive noise. The chirped signal is a sinusoid whose frequency is drifting at a constant rate. After incorporating second order linear state space model of the sinusoid, SSRLS successfully tracks sinusoid/chirp with unknown parameters. The frequency estimation is done using a stochastic gradient like scheme. The forgetting factor for SSRLS and step size parameter for frequency estimator play important roles in this context
Keywords :
frequency estimation; gradient methods; signal processing; state-space methods; stochastic processes; adaptive tracking; additive noise; chirped signals; frequency estimation; noisy sinusoid; second order linear state space model; stochastic gradient like scheme; Adaptive filters; Additive noise; Chirp; Filtering algorithms; Frequency estimation; Least squares approximation; Resonance light scattering; State-space methods; Stochastic resonance; White noise;
Conference_Titel :
Industrial Electronics, 2006 IEEE International Symposium on
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0496-7
Electronic_ISBN :
1-4244-0497-5
DOI :
10.1109/ISIE.2006.295526
