TY - JOUR
T1 - Instantaneous frequency rate estimation for high-order polynomial-phase signals
AU - Wang, Pu
AU - Li, Hongbin
AU - Djurović, Igor
AU - Himed, Braham
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Instantaneous frequency rate
KW - Polynomial phase signal
KW - Statistical signal processing
UR - http://www.scopus.com/inward/record.url?scp=79954501413&partnerID=8YFLogxK
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U2 - 10.1109/LSP.2009.2024857
DO - 10.1109/LSP.2009.2024857
M3 - Article
AN - SCOPUS:79954501413
SN - 1070-9908
VL - 16
SP - 782
EP - 785
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
IS - 9
M1 - 2024857
ER -