• DocumentCode
    2888615
  • Title

    Computationally efficient estimation of sinusoidal frequency at low SNR

  • Author

    Umesh, S. ; Nelson, D.

  • Author_Institution
    Hunter Coll., City Univ. of New York, NY, USA
  • Volume
    5
  • fYear
    1996
  • fDate
    7-10 May 1996
  • Firstpage
    2797
  • Abstract
    We propose a computationally efficient method for estimation of frequency of a single complex sinusoid at low SNR. This method is motivated by the cross-power spectrum method of Nelson (1993) and the weighted phase averager (WPA) methods of Tretter (1985), Kay (1988), and Lovell et al. (1991). We demonstrate that by a simple preprocessing, we can extend the threshold SNR of the WPA significantly. Further, unlike the WPA, the proposed method can be easily extended for estimation of frequencies of multiple sinusoids that are well-separated in frequency. We also derive the variance of the proposed estimator and provide simulation results comparing the proposed method with the WPA
  • Keywords
    frequency estimation; signal processing; spectral analysis; computationally efficient estimation; cross-power spectrum method; low SNR; multiple sinusoids; preprocessing; simulation results; sinusoidal frequency estimation; threshold SNR; variance; weighted phase averager methods; Chromium; Educational institutions; Frequency estimation; Gaussian noise; Linear regression; Maximum likelihood estimation; Phase estimation; Radar applications; Radar signal processing; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-3192-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1996.550134
  • Filename
    550134