• DocumentCode
    1423637
  • Title

    On the spectral properties of polynomial-phase signals

  • Author

    Scaglione, Anna ; Barbarossa, Sergio

  • Author_Institution
    INFOCOM Dept., Rome Univ., Italy
  • Volume
    5
  • Issue
    9
  • fYear
    1998
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    Polynomial-phase signals (PPSs), i.e., signals parameterized as s(t)=A exp(j2/spl pi//spl Sigma//sub m=0//sup M/ a/sub m/t/sup m/), have been extensively studied and several algorithms have been proposed to estimate their parameters. From both the application and the theoretical points of view, it is particularly important to know the spectrum of this class of signals. Unfortunately, the spectrum of PPSs of generic order is not known in closed form, except for first- and second-order PPSs. The aim of this letter is to provide an approximate behavior of the spectrum of PPSs of any order. More specifically, we prove that: (i) the spectrum follows a power law behavior f/sup -/spl gamma//, with /spl gamma/=(M-2)/(M-1); (ii) the spectrum is symmetric for M even and is strongly asymmetric for M odd; and (iii) the maximum of the spectrum has an upper bound proportional to T/sup (m-1)/M/ and, lower bound proportional to T/sup 1/2/. These results are useful to predict the performance of the so-called high order ambiguity function (HAF) and the Product-HAH (PHAF), specifically introduced to estimate the parameters of PPSs, when applied to multicomponent PPSs.
  • Keywords
    higher order statistics; parameter estimation; polynomials; spectral analysis; Product-HAH; high order ambiguity function; lower bound; parameter estimation; polynomial-phase signals; power law behavior; spectral properties; symmetric spectrum; upper bound; Amplitude modulation; Continuous phase modulation; Digital communication; Parameter estimation; Polynomials; Sampling methods; Signal analysis; Synthetic aperture radar; Upper bound;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.712109
  • Filename
    712109