Abstract
A two-dimensional (2D) high-order Wigner distribution (HO-WD) is proposed for parameter estimation of 2D polynomial phase signals (PPSs). The genetic algorithm is employed for maximization of the 2D HO-WD. In comparison to the 2D cubic phase function and classical Francos and Friedlander approach, the 2D HO-WD reduces error propagation effect which leads to lower mean squared error in estimation of signal parameters. The proposed technique is generalized for the 2D higher-order PPS.
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