Estimation of FM signal parameters in impulse noise environments
Signal Processing
EURASIP Journal on Applied Signal Processing
Detection and estimation of spectral change
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Identifiability and aliasing in polynomial-phase signals
IEEE Transactions on Signal Processing
New approach for ISAR imaging of ship target with 3D rotation
Multidimensional Systems and Signal Processing
STFT-based estimator of polynomial phase signals
Signal Processing
Are genetic algorithms useful for the parameter estimation of FM signals?
Digital Signal Processing
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The aim of this work is the performance analysis of a method for the detection and parameter estimation of mono or multicomponent polynomial-phase signals (PPS) embedded in white Gaussian noise and based on a generalized ambiguity function. The proposed method is shown to be asymptotically efficient for second-order PPS and nearly asymptotically efficient for third-order PPSs. The method presents some advantages with respect to similar techniques, like the polynomial-phase transform, for example, in terms of (i) a closer approach to the Cramer-Rao lower bounds, (ii) a lower SNR threshold, (iii) a better capability of discriminating multicomponent signals