Add to ORKGAbstract: This paper presents a new method to efficiently characterize a large number of Low Probability of Intercept (LPI) signal classes. This method is based on analytic characterization of the signals Instantaneous Frequency Laws (IFL). The main concept involved in this method is the polynomial phase modelling using the warped version of the High order Ambiguity Function. Some results of the proposed method will be presented to illustrate the outlines
Nonstationary signals appear often in real-life applications and many of them can be modeled as poly...
Abstract—Many real-world applications are characterized by the pres-ence of polynomial phase signals...
The aim of this work is the performance analysis of a method for the detection and parameter estimat...
International audienceWith the growth of electromagnetic traffic, Electronic Warfare (EW) systems ne...
International audienceWith the growing electromagnetic traffic, Electronic Warfare (EW) systems need...
This paper investigates the computationally efficient parameter estimation of polynomial phase signa...
This paper introduces some tools to characterize the phase behav-ior of non stationary signals. Star...
Introduction. Polynomial phase signals frequently appear in radar, sonar, communication and technica...
Many real-world applications are characterized by the presence of polynomial phase signals embedded ...
Nonstationary signals are common in many environments such as radar, sonar, bioengineering and power...
The high-order ambiguity function (HAF) was introduced for the estimation of polynomial-phase signa...
The high-order ambiguity function (HAF) was introduced for the estimation of polynomial-phase signal...
We describe an efficient technique analyzing signals that comprise a number of polynomial phase comp...
Parameter estimation and performance analysis issues are studied for multicomponent polynomial-phase...
The polynomial Wigner-Ville distribution was designed as an optimal tool for characterising the spec...
Nonstationary signals appear often in real-life applications and many of them can be modeled as poly...
Abstract—Many real-world applications are characterized by the pres-ence of polynomial phase signals...
The aim of this work is the performance analysis of a method for the detection and parameter estimat...
International audienceWith the growth of electromagnetic traffic, Electronic Warfare (EW) systems ne...
International audienceWith the growing electromagnetic traffic, Electronic Warfare (EW) systems need...
This paper investigates the computationally efficient parameter estimation of polynomial phase signa...
This paper introduces some tools to characterize the phase behav-ior of non stationary signals. Star...
Introduction. Polynomial phase signals frequently appear in radar, sonar, communication and technica...
Many real-world applications are characterized by the presence of polynomial phase signals embedded ...
Nonstationary signals are common in many environments such as radar, sonar, bioengineering and power...
The high-order ambiguity function (HAF) was introduced for the estimation of polynomial-phase signa...
The high-order ambiguity function (HAF) was introduced for the estimation of polynomial-phase signal...
We describe an efficient technique analyzing signals that comprise a number of polynomial phase comp...
Parameter estimation and performance analysis issues are studied for multicomponent polynomial-phase...
The polynomial Wigner-Ville distribution was designed as an optimal tool for characterising the spec...
Nonstationary signals appear often in real-life applications and many of them can be modeled as poly...
Abstract—Many real-world applications are characterized by the pres-ence of polynomial phase signals...
The aim of this work is the performance analysis of a method for the detection and parameter estimat...