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

—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.

• Type: Conference
• Year: 2009
• Where: ICASSP
• Authors: Pu Wang, Hongbin Li, Igor Djurovic, Jianyu Yang
• Keywords: Estimator Yields, ICASSP 2009, IFR Estimator, Popular Ifr Estimator, Signal Processing