Title :
Two Simplified Recursive Gauss–Newton Algorithms for Direct Amplitude and Phase Tracking of a Real Sinusoid
Author :
Zheng, Jun ; Lui, Kenneth W K ; Ma, W.-K. ; So, H.C.
Author_Institution :
City Univ. of Hong Kong, Kowloon
Abstract :
In this letter, the problem of adaptive tracking the amplitude and phase of a noisy sinusoid with known frequency is addressed. Based on approximating the recursive Gauss-Newton approach, two computationally simple algorithms, which provide direct parameter estimates, are devised and analyzed. Simulation results show that the proposed methods can attain identical estimation performance as their original one.
Keywords :
Gaussian noise; Newton method; amplitude estimation; phase estimation; recursive estimation; signal processing; tracking; adaptive tracking problem; direct amplitude; parameter estimation; phase noisy sinusoid tracking; simplified recursive Gauss-Newton algorithm; Fast algorithm; Gauss–Newton method; Gauss-Newton method; sinusoidal amplitude estimation; sinusoidal phase estimation;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2007.906217