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

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4 Author(s)
Pu Wang ; School of Electronic Engineering, Univ. of Elec. Sci. and Tech of China, Chengdu 610054, China ; Hongbin Li ; Igor Djurovic ; Jianyu Yang

For a high-order polynomial-phase signal (PPS), instantaneous frequency rate (IFR), which is defined as the second derivative of the phase, is estimated by using an estimator with only a second-order nonlinearity. Compared to high-order phase function (HPF), the proposed IFR estimator presents improved performance including smaller mean-squared error (MSE) and lower SNR threshold. Statistical analysis via a multivariate first-order perturbation analysis is derived for the estimate bias and MSE. Numerical results verify our analytical results.

Published in:

2009 IEEE International Conference on Acoustics, Speech and Signal Processing

Date of Conference:

19-24 April 2009