Instantaneous frequency rate estimation for high-order polynomial-phase signals

Pu Wang, Hongbin Li, Igor Djurović, Braham Himed

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Instantaneous frequency rate (IFR) estimation for high-order polynomial phase signals (PPSs) is considered. Specifically, an IFR estimator with only a second-order nonlinearity is proposed. The asymptotic mean-squared error (MSE) of the proposed IFR estimator is obtained via a multivariate first-order perturbation analysis. Our results show that the proposed estimator yields a smaller MSE and a lower signal-to-noise ratio (SNR) threshold than a popular IFR estimator involving higher nonlinearity. The proposed IFR estimator is also extended to estimate the phase parameters of a PPS. Numerical studies are presented to illustrate the performance of the proposed estimator.

Original languageEnglish
Article number2024857
Pages (from-to)782-785
Number of pages4
JournalIEEE Signal Processing Letters
Volume16
Issue number9
DOIs
StatePublished - 2009

Keywords

  • Instantaneous frequency rate
  • Polynomial phase signal
  • Statistical signal processing

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