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 …

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 …

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

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

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 …

Polynomial-phase signals (PPSs), ie, signals parameterized as s (t)= A exp (j2/spl pi//spl
Sigma//sub m= 0//sup M/a/sub m/t/sup m/), have been extensively studied and several …

A novel method for aliasing detection and resolving in the estimation of polynomial-phase
signal (PPS) parameters is presented. Aliasing is detected using two high-order ambiguity …

Several papers have been published recently on the quasi-maximum likelihood (QML)
approach for the polynomial phase signals (PPS) parameter estimation. The QML is …