Frequency and parameter estimation of multi-sinusoidal signal

Measurement Science Review

Volumn 12, Issue 5, 2012, Pages 175-183

  Petrovic P ^a  

^a UNIVERSITY OF KRAGUJEVAC   (Serbia)

Author keywords

Analytical solutions; Band limited signals; Fundamental frequency and Fourier coefficient estimation; Signal reconstruction; Time domain

Indexed keywords

BAND-LIMITED SIGNAL; CRAMER-RAO LOWER BOUND; ESTIMATION PERFORMANCE; FOURIER COEFFICIENTS; FUNDAMENTAL FREQUENCIES; HARMONIC COMPENSATION; HARMONIC PARAMETERS; HARMONIC WAVE; HIGH SIGNAL-TO-NOISE RATIO; MULTI-SINUSOIDAL SIGNALS; NUMERICAL ERRORS; PARAMETER ESTIMATION ALGORITHM; POWER QUALITY MONITORING; SIGNAL MODELING; SIGNAL PROCESSING PROBLEMS; SIMULTANEOUS ESTIMATION; SPECTRAL ESTIMATION; TIME DOMAIN;

CRAMER-RAO BOUNDS; ELECTRIC POWER SYSTEMS; ESTIMATION; FADING (RADIO); FOURIER ANALYSIS; HARMONIC ANALYSIS; NATURAL FREQUENCIES; PARAMETER ESTIMATION; SIGNAL ANALYSIS; SIGNAL RECONSTRUCTION; SPECTRUM ANALYSIS;

ALGORITHMS;

EID: 84873146786     PISSN: 13358871     EISSN: None     Source Type: Journal    
DOI: 10.2478/v10048-012-0027-4     Document Type: Article

References (26)

1. Wang, F., Bollen, M. (2004). Frequency response characteristics and error estimation in RMS measurement. IEEE Trans. Power Delivery, 19 (4), 1569-1578.
2. Wand, M., Sun, Y. (2004). A practical, precise method for frequency tracking and phasor estimation. IEEE Trans. Power Delivery, 19 (4), 1547-1552.
3. Agrež, D. (2010). Estimation and tracking of the power quality disturbances in the frequency domain. Meas. Sci. Rev., 10 (6), 189-194.
4. Terzija, V.V. (2003). Improved recursive Newton-type algorithms for frequency and spectra estimation in power systems. IEEE Trans. Instrum. Meas., 52 (5), 1654-1659.
5. Sidhu, T.T. (1999). Accurate measurement of power system frequency using a digital signal processing technique. IEEE Trans. Instrum. Meas., 48 (1), 75-81.
6. Arpaia, P., Cruz Serra, A., Daponte, P., Monteiro, C.L. (2001). A critical note to IEEE 1057-94 standard on hysteretic ADC dynamic testing. IEEE Trans. Instrum. Meas., 50 (4), 941-948. (Pubitemid 32945755)
7. Wu, J., Long, J., Wang, J. (2005). High-accuracy, wide-range frequency estimation methods for power system signals under nonsinusoidal conditions. IEEE Trans. Power Delivery, 20 (1), 366-374. (Pubitemid 40152072)
8. So, H.C., Chan, K.W., Chan, Y.T., Ho, K.C. (2005). Linear prediction approach for efficient frequency estimation of multiple real sinusoids: Algorithms and analyses. IEEE Trans. Signal Process., 53 (7), 2290-2305. (Pubitemid 41166913)
9. Klein, J.D. (2006). Fast algorithms for single frequency estimation. IEEE Trans. Signal Process., 54 (5), 1762-1770.
10. El-Shafey, M.H., Mansour, M.M. (2006). Application of a new frequency estimation technique to power systems. IEEE Trans. Power Delivery, 21 (3), 1045-1053. (Pubitemid 43983624)
11. Trapero, J.R., Sira-Ramirez, H., Batlle, V.F. (2007). An algebraic frequency estimator for a biased and noisy sinusoidal signal. Signal Process., 87 (6), 1188-1201.
12. Martens, O., Trampark, H., Liimets, A., Nobel, P., Veskimester, A., Jarvalt, A. (2008). DSP-based power quality monitoring device. In IEEE International Symposium on Intelligent Signal Processing (WISP 2007), 3-5 October 2007. IEEE, 1-5.
13. Hindersah, H., Purwadi, A., Ali, F.Y., Heryana, N. (2011). Prototype development of single phase prepaid KWh meter. In International Conference on Electrical Engineering and Informatics, 17-19 July 2011. IEEE, 1-6.
14. Petrovic, P. (2010). Fourier coefficient estimation based on the differential values of the processed signal. IETE Jornal of Research, 56 (1), 30-43.
15. Poberezhskiy, Y.S., Poberezhskiy, G.Y. (2004). Sampling and signal reconstruction circuits performing internal antialiasing filtering and their influence on the design of digital receivers and transmitters. IEEE Trans. Circ. Syst.-I, 51 (1), 118-129.
16. Cooklev, T. (2006). An efficient architecture for orthogonal wavlet transforms. IEEE Signal Process. Lett., 13 (2), 77-79. (Pubitemid 43137976)
17. Schoukens, J., Rolain, Y., Simon, G., Pintelon, R. (2003). Fully automated spectral analysis of periodic signals. IEEE Trans. Instrum. Meas., 52 (4), 1021-1024.
18. Reeves, S.J. (1999). An efficient implementation of the backward greedy algorithm for sparse signal reconstruction. IEEE Signal Process. Lett., 6 (10), 266-268. (Pubitemid 30505881)
19. Kay, S.M. (1988). Modern Spectral Estimation: Theory and Applications. Englewood Cliffs, NJ: Prentice-Hall.
20. Stoica, P., Li, H., Li, J. (2000). Amplitude estimation of sinusoidal signals: Survey, new results, and an application. IEEE Trans. Signal Process., 48 (2), 338-352. (Pubitemid 30556262)
21. Belega, D., Dallet, D., Slepicka, D. (2010). Accurate amplitude estimation of harmonic components of incoherently sampled signals in the frequency domain. IEEE Trans. Instrum. Meas., 59 (5), 1158-1166.
22. Pantazis, Y., Roces, O., Stylianou, Y. (2010). Iterative estimation of sinusoidal signal parameters. IEEE Signal Process. Lett., 17 (5), 461-464.
23. Hidalgo, R.M., Fernandez, J.G., Rivera, R.R., Larrondo, H.A. (1996). A simple adjustable window algorithm to improve FFT measurements. IEEE Trans. Instrum. Meas., 51 (1), 31-36.
24. Agrež, D. (2002). Weighted multi-point interpolated DFT to improve amplitude estimation of multi-frequency signal. IEEE Trans. Instrum. Meas., 51 (2), 287-292. (Pubitemid 34692506)
25. Agrež, D. (2005). Improving phase estimation with leakage minimization. IEEE Trans. Instrum. Meas., 54 (4), 1347-1353. (Pubitemid 41100665)
26. Tse, N.C.F., Lai, L.L. (2007). Wavelet-based algorithm for signal analysis. EURASIP Journal on Advances in Signal Processing, 2007 (1), art. ID 38916.