Accuracy Analysis of an Enhanced Frequency-Domain Linear Least-Squares Algorithm

This paper investigates the accuracies of the sine-wave amplitude and phase estimators provided by an enhanced Frequency-domain Linear Least-Squares (e-FLLS) algorithm recently proposed in the literature. The e-FLLS algorithm adopts the rectangular window and it considers three Discrete Time Fourier Transform (DTFT) samples to compensate the contribution of the spectral image component. Analytical expressions for the Mean Squares Errors (MSEs) of the e-FLLS amplitude and phase estimators are derived and their accuracies are verified by means of computer simulations. Moreover, the accuracies of the amplitude and phase estimators provided by the e-FLLS algorithm, the classical three-parameter sine-fit (3PSF) method, and the weighted three-parameter sine-fit (W3PSF) algorithm are compared each other through both theoretical and simulation results.

[1]  Daniel Belega,et al.  Accuracy analysis of the sine-wave parameters estimation by means of the windowed three-parameter sine-fit algorithm , 2016, Digit. Signal Process..

[2]  Daniel Belega,et al.  Frequency estimation of a sinusoidal signal via a three-point interpolated DFT method with high image component interference rejection capability , 2014, Digit. Signal Process..

[3]  Dario Petri,et al.  Frequency-domain-based least-squares estimation of multifrequency signal parameters , 2000, IEEE Trans. Instrum. Meas..

[4]  Daniel Belega,et al.  Statistical description of the sine-wave frequency estimator provided by the interpolated DFT method , 2012 .

[5]  A. Nuttall Some windows with very good sidelobe behavior , 1981 .

[6]  Robert Boorstyn,et al.  Single tone parameter estimation from discrete-time observations , 1974, IEEE Trans. Inf. Theory.

[7]  Steven Kay,et al.  Fundamentals Of Statistical Signal Processing , 2001 .

[8]  D. Belega,et al.  Multifrequency signal analysis by Interpolated DFT method with maximum sidelobe decay windows , 2009 .

[9]  Han Ding,et al.  Estimation of multi-frequency signal parameters by frequency domain non-linear least squares , 2005 .

[10]  D. Petri,et al.  Interpolation techniques for real-time multifrequency waveform analysis , 1989, 6th IEEE Conference Record., Instrumentation and Measurement Technology Conference.

[11]  Peter Händel,et al.  Properties of the IEEE-STD-1057 four-parameter sine wave fit algorithm , 2000, IEEE Trans. Instrum. Meas..

[12]  Peter Händel,et al.  Amplitude estimation using IEEE-STD-1057 three-parameter sine wave fit: Statistical distribution, bias and variance , 2010 .

[13]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[14]  Dariusz Kania,et al.  Interpolated-DFT-Based Fast and Accurate Frequency Estimation for the Control of Power , 2014, IEEE Transactions on Industrial Electronics.

[15]  Daniel Belega,et al.  Amplitude and Phase Estimation of Real-Valued Sine Wave via Frequency-Domain Linear Least-Squares Algorithms , 2018, IEEE Transactions on Instrumentation and Measurement.