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- W4386323231 abstract "This paper compares the performance of three classical Extended Kalman Filters (EKF) to estimate the amplitude, frequency, and phase angle of a sinusoidal signal corrupted by white noise. Besides, two output signals are generated, one in-phase to the input signal and other in-quadrature as required in some applications. The selected EKF variants are the EKF based on the orthogonal vector model (OV-EKF), the extended complex KF (ECKF), and the one based on the so called nearly constant frequency model (NCF-EKF). The last method is computationally less demanding for real time implementation since it does not require neither a square root nor a trigonometric arctangent function nor a natural logarithm to estimate the parameters. Assuming a single sinusoidal signal, simulations are carried out with different amplitudes, frequencies, initial phase angles, and levels of signal-to-noise ratio (SNR). The results show that NCF-EKF method is the most suitable to estimate the phase angle, and it has no problems of instability and divergence." @default.
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- W4386323231 date "2023-06-19" @default.
- W4386323231 modified "2023-10-02" @default.
- W4386323231 title "A Comparison of Extended Kalman Filters for Parameter Estimation of Sinusoidal Signals" @default.
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- W4386323231 doi "https://doi.org/10.1109/isie51358.2023.10228117" @default.
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