• DocumentCode
    3055996
  • Title

    Statistical analysis of frequency modulated signals

  • Author

    Rao, T. Subba ; Yar, N.

  • Author_Institution
    University of Manchester, Manchester, U.K.
  • Volume
    7
  • fYear
    1982
  • fDate
    30072
  • Firstpage
    1042
  • Lastpage
    1045
  • Abstract
    In the transmission of signals, one of the common models used for transmission is the frequency modulated model. Suppose the original signal is of the form f_{t} = \\beta \\sin (\\theta t+\\psi ) , then the contaminated frequency Modulated signal is given by y_{t} = A \\cos(\\theta_{c}t + \\phi + \\beta \\sin(\\theta t + \\psi)) + z_{t} (t = 1,2 ....) , where θcis the carrier frequency, θ is the frequency of the original signal, φ and ψ are random phases, each having a uniform distribution over the interval [-π,π], β is a modulation index. Assuming ztis a second order stationary process, we consider the spectral analysis of the process yt. Suppose we have a sample y1,y2.....yn, we consider the (maximum likelihood) estimation of the frequencies θc, θ, β and A on the basis of the sample, under the assumptions (i) {zt} is a Gaussian white noise; (ii) {zt} is a second order stationary Gaussian process.
  • Keywords
    Frequency estimation; Frequency modulation; Maximum likelihood detection; Maximum likelihood estimation; Phase modulation; Random processes; Random variables; Signal processing; Spectral analysis; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '82.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1982.1171711
  • Filename
    1171711