In this paper, we consider parameter estimation of high-order polynomial-phase signals
(PPSs). We propose an approach that combines the cubic phase function (CPF) and the …

This paper addresses the issue of detection and parameter estimation of multicomponent
polynomial phase signals (mc-PPS) embedded in noise. We focus on analyzing a general …

High-order ambiguity function (HAF) is an effective tool for retrieving coefficients of
polynomial phase signals (PPS). The lag choice is dictated by conflicting requirements: a …

Parameter estimation and performance analysis issues are studied for multicomponent
polynomial-phase signals (PPSs) embedded in white Gaussian noise. Identifiability issues …

The high-order phase function (HPF) has been introduced recently to estimate the
parameters of a polynomial phase signal (PPS). In this correspondence, we generalize the …

While the theory of estimation of monocomponent polynomial phase signals is well
established, the theoretical and methodical treatment of multicomponent polynomial phase …

A novel approach for the parameter estimation of the polynomial phase signals (PPS) based
on the short‐time Fourier transform (STFT) is proposed. Estimator accuracy is significantly …

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 …

The high-order ambiguity function (HAF) was introduced for the estimation of polynomial-
phase signals (PPS) embedded in noise. Since the HAF is a nonlinear operator, it suffers …

This paper considers parameter estimation of a hybrid sinusoidal frequency modulated (FM)
and polynomial phase signal (PPS) from a finite number of samples. We first show …