In this paper, we propose a refinement procedure for the estimation of polynomial-phase
signal (PPS) parameters. The PPS parameters are estimated using a method based on the …

We consider fine parameter estimation of polynomial-phase signals (PPSs) using the cubic
phase function (CPF). The CPF outperforms the high-order ambiguity function (HAF) both in …

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 …

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 …

The high-order ambiguity function (HAF) was introduced for the estimation of polynomial-
phase signals (PPS). Currently the HAF suffers from noise-masking effects and from the …

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 …

Parameter estimation of polynomial phase signals (PPSs) based on the cubic phase
function (CPF) and its extensions cannot be performed by using the fast Fourier transform …

Nonstationary signals are common in many environments such as radar, sonar,
bioengineering and power systems. The nonstationary nature of the signals found in these …

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 for a combination of a polynomial phase signal (PPS) and a frequency
modulated (FM) signal is addressed. A novel approach is proposed that allows one to …