Combined HO-CPF and HO-WD PPS estimator
Recently, the high-order cubic phase function (HO-CPF) and high-order Wigner distribution (HO-WD) have been proposed for parameter estimation of polynomial-phase signals (PPSs). To estimate PPS parameters, both the HO-CPF and HO-WD are evaluated at two points. One point is usually the center of the considered time interval, whereas the other one is shifted from the center. Shifting shortens the signal sequence and reduces the performance of the considered technique. In this paper, we propose an estimation procedure that combines the HO-CPF and HO-WD. The procedure evaluates both functions at the origin only, implying no signal shortening. Simulation results and statistical study have shown a significant performance improvement over the HO-CPF- and the HO-WD- based estimators.
cubic phase function parameter estimation polynomial-phase signals high-order ambiguity function