High-Resolution Spectral Estimation of HF Radar Data for Current Measurement Applications

Wei Wang Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada

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Eric Gill Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, Newfoundland and Labrador, Canada

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Abstract

This paper presents a comparative study of high-resolution methods for high-frequency radar current mapping. A z-domain transformation and auxiliary z-domain manipulation of the autoregressive method is proposed for this comparison. A Weibull distribution test is recommended to justify the Rayleigh distribution of the sea clutter for quality control. Upon the power spectrum estimation, a conventional centroid method and a new symmetric-peak-sum method for the identification of current Doppler shift are proposed as another comparison. HF radar data were collected over the period from November 2012 to August 2013 at Placentia Bay, Newfoundland, Canada, and were compared with measurements from an acoustic Doppler current meter. This comparison is used to study the utility of high-resolution spectrum estimation and Bragg identification methods for surface current mapping. Results show promising use of these methods in different current scenarios and suggest combined applications to improve accuracy.

Corresponding author address: Wei Wang, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, P.O. Box 63, St. John’s NL A1B 3X5, Canada. E-mail: weiw@mun.ca

Abstract

This paper presents a comparative study of high-resolution methods for high-frequency radar current mapping. A z-domain transformation and auxiliary z-domain manipulation of the autoregressive method is proposed for this comparison. A Weibull distribution test is recommended to justify the Rayleigh distribution of the sea clutter for quality control. Upon the power spectrum estimation, a conventional centroid method and a new symmetric-peak-sum method for the identification of current Doppler shift are proposed as another comparison. HF radar data were collected over the period from November 2012 to August 2013 at Placentia Bay, Newfoundland, Canada, and were compared with measurements from an acoustic Doppler current meter. This comparison is used to study the utility of high-resolution spectrum estimation and Bragg identification methods for surface current mapping. Results show promising use of these methods in different current scenarios and suggest combined applications to improve accuracy.

Corresponding author address: Wei Wang, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, P.O. Box 63, St. John’s NL A1B 3X5, Canada. E-mail: weiw@mun.ca
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  • Barrick, D., 1980: Accuracy of parameter extraction from sample-averaged sea-echo Doppler spectra. IEEE Trans. Antennas Propag.,28, 111, doi:10.1109/TAP.1980.1142279.

    • Search Google Scholar
    • Export Citation
  • Barrick, D., 2008: 30 years of CMTC and CODAR. Advances in Current and Wave Measurement Technology and Observations, J. Rizoli White, Ed., IEEE, 131–136.

  • Barrick, D., and Snider J. , 1977: The statistics of HF sea-echo Doppler spectra. IEEE Trans. Antennas Propag., 25, 1928, doi:10.1109/TAP.1977.1141529.

    • Search Google Scholar
    • Export Citation
  • Bouchard, M., Gingras D. , de Villers Y. , and Potvin D. , 1994: High resolution spectrum estimation of FMCW radar signals. Proceedings: IEEE Seventh SP Workshop on Statistical Signal and Array Processing, B. Philbert, Ed., Université Laval, 421–424.

  • Chapman, R. D., Shay L. K. , Graber H. C. , Edson J. B. , Karachintsev A. , Trump C. L. , and Ross D. B. , 1997: On the accuracy of HF radar surface current measurements: Intercomparisons with ship-based sensors. J. Geophys. Res.,102, 18 737–18 748, doi:10.1029/97JC00049.

  • Chen, C.-W., Helzel T. , and Huang L.-L. , 2008: Introduction to WERA over-the-horizon-radar techniques features and results. Proc. 30th Ocean Engineering Conf., Sinchu, Taiwan, National Chiao Tung University, 199–204. [Available online at http://www.tsoe.org.tw/downloads/thesis/2008A33.pdf.]

  • Crombie, D. D., 1955: Doppler spectrum of sea echo at 13.56 Mc./s. Nature,175, 681–682, doi:10.1038/175681a0.

  • Essen, H.-H., Gurgel K.-W. , and Schlick T. , 2000: On the accuracy of current measurements by means of HF radar. IEEE J. Oceanic Eng.,25, 472480, doi:10.1109/48.895354.

    • Search Google Scholar
    • Export Citation
  • Georges, T., and Maresca J. , 1979: The effects of space and time resolution on the quality of sea echo Doppler spectra measured with HF sky wave radar. Radio Sci., 14, 455469, doi:10.1029/RS014i003p00455.

    • Search Google Scholar
    • Export Citation
  • Gill, E., and Walsh W. , 2008: A combined sea clutter and noise model appropriate to the operation of high-frequency pulsed Doppler radar in regions constrained by external noise. Radio Sci., 43, RS4012, doi:10.1029/2007RS003757.

    • Search Google Scholar
    • Export Citation
  • Graber, H. C., Haus B. K. , Chapman R. D. , and Shay L. K. , 1997: HF radar comparisons with moored estimates of current speed and direction: Expected differences and implications. J. Geophys. Res.,102, 18 749–18 766, doi:10.1029/97JC01190.

  • Ha, E.-C., 1979: Remote sensing of ocean surface current and current shear by HF backscatter radar. Stanford Electronics Laboratories, Stanford University, Tech. Rep. D415-1, 141 pp.

  • Haykin, S. S, Ed., 2007: Adaptive Radar Signal Processing.John Wiley & Sons, 230 pp.

  • Hickey, K., Khan R. , and Walsh J. , 1995: Parametric estimation of ocean surface currents with HF radar. IEEE J. Oceanic Eng.,20, 139144, doi:10.1109/48.376678.

    • Search Google Scholar
    • Export Citation
  • Holbrook, J., Frisch A. , and Barrick D. , 1982: A comparison of near-surface CODAR and VACM measurements in the Strait of Juan de Fuca, August 1978. Proceedings of the 1982 IEEE Second Working Conference on Current Measurement, M. Dursi and W. E. Woodward, Eds., IEEE, 125–130.

  • Janopaul, M., Broche P. , De Maistre J. , Essen H. , Blanchet C. , Grau G. , and Mittelstaedt E. , 1982: Comparison of measurements of sea currents by HF radar and by conventional means. Int. J. Remote Sens., 3, 409422, doi:10.1080/01431168208948412.

    • Search Google Scholar
    • Export Citation
  • Ljung, L., 1987: System Identification: Theory for the User. Prentice-Hall Information and System Sciences Series, Prentice Hall, 530 pp.

  • Lorente, P., Piedracoba S. , and Fanjul E. A. , 2014: Validation of high-frequency radar ocean surface current observations in the NW of the Iberian Peninsula. Cont. Shelf Res., 92, 1–15, doi:10.1016/j.csr.2014.11.001.

    • Search Google Scholar
    • Export Citation
  • Marple, L., 1977: Resolution of conventional Fourier, autoregressive, and special ARMA methods of spectrum analysis. 1977 IEEE International Conference on Acoustics, Speech and Signal Processing Record, Vol. 2, IEEE, 74–77.

  • Marple, S. L., Jr., 1987: Digital Spectral Analysis with Applications. Prentice-Hall Series in Signal Processing, Prentice-Hall, Inc., 492 pp.

  • Martin, R. J., and Kearney M. J. , 1997: Remote sea current sensing using HF radar: An autoregressive approach. IEEE J. Oceanic Eng.,22, 151155, doi:10.1109/48.557549.

    • Search Google Scholar
    • Export Citation
  • Paduan, J. D., and Washburn L. , 2013: High-frequency radar observations of ocean surface currents. Annu. Rev. Mar. Sci., 5, 115136, doi:10.1146/annurev-marine-121211-172315.

    • Search Google Scholar
    • Export Citation
  • Paduan, J. D., Kim K. C. , Cook M. S. , and Chavez F. P. , 2006: Calibration and validation of direction-finding high-frequency radar ocean surface current observations. IEEE J. Oceanic Eng.,31, 862875, doi:10.1109/JOE.2006.886195.

    • Search Google Scholar
    • Export Citation
  • Prandle, D., and Ryder D. K. , 1985: Measurement of surface currents in Liverpool Bay by high-frequency radar. Nature,315, 128–131, doi:10.1038/315128a0.

  • Schmidt, R., 1986: Multiple emitter location and signal parameter estimation. IEEE Trans. Antennas Propag.,34, 276280, doi:10.1109/TAP.1986.1143830.

    • Search Google Scholar
    • Export Citation
  • Schott, F. A., Frisch S. A. , and Larsen J. C. , 1986: Comparison of surface currents measured by HF Doppler radar in the western Florida Straits during November 1983 to January 1984 and Florida Current transports. J. Geophys. Res.,91, 8451–8460, doi:10.1029/JC091iC07p08451.

  • SmartAtlantic Alliance, 2013: Mouth of Placentia Bay data (updated daily). Marine Institute of Memorial University of Newfoundland, accessed 30 August 2013. [Available online at http://www.smartatlantic.ca/Home/request.php?buoy=mouth_of_bay.]

  • Stewart, R. H., and Joy J. W. , 1974: HF radio measurements of surface currents. Deep-Sea Res. Oceanogr. Abstr., 21, 10391049, doi:10.1016/0011-7471(74)90066-7.

    • Search Google Scholar
    • Export Citation
  • Vizinho, A., 1998: Modern spectral analysis in HF radar remote sensing. Ph.D. thesis, University of Sheffield, 169 pp.

  • Welch, P. D., 1967: The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms. IEEE Trans. Audio Electroacoust., 15, 7073, doi:10.1109/TAU.1967.1161901.

    • Search Google Scholar
    • Export Citation
  • Wyatt, L. R., Green J. J. , and Middleditch A. , 2007: Data quality and sampling requirements for reliable wave measurement with HF radar. OCEANS 2007: MTS/IEEE: On the Edge of Tomorrow, IEEE, 070423-006, 7 pp., doi:10.1109/OCEANS.2007.4449136.

  • Zhang, J., Walsh J. , and Gill E. W. , 2012: Inherent limitations in high-frequency radar remote sensing based on Bragg scattering from the ocean surface. IEEE J. Oceanic Eng.,37, 395406, doi:10.1109/JOE.2012.2198932.

    • Search Google Scholar
    • Export Citation
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