In this paper, a procedure to design a fuzzy classifier to classify shell-shaped targets is proposed. The proposed procedure utilizes the radar cross section (RCS) of a shell-shaped target considering the relative orientation angle and polarization dependences in various flight scenarios based on real situations. In addition, particle swarm optimization (PSO) is applied to the fuzzy classifier to maximize its classification capability. Numerical results using three different shell-shaped targets are presented to assess the effectiveness of the proposed method.1111sciescopu
The radar echo classifier (REC) is a data fusion system that uses “fuzzy-logic ” techniques (Kosko, ...
The paper deals with classification of ground radar targets. Areceived radar signal backscattered fr...
The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected targets ...
In this paper, a study on the optimization of fuzzy classifier using radar cross section(RCS) values...
classifier) is proposed in this paper. This classifier is described for finding the decision hyperpl...
Abstract—The fuzzy fractal characteristics of return signals from aircraft targets in conventional r...
This paper presents a fuzzy classifier with the fuzzy rules base extracted from data and optimised b...
The electromagnetic target classification is a challenging problem since the scattered field from a ...
ABSTRACT: The aim of this paper is two fold. First, we present a through experimental study the diff...
International audienceComplex target recognition tasks rarely succeed through the application of jus...
The paper describes the application of the optimization method of fuzzy automatic classification in ...
This study introduces a novel aspect and polarisation invariant radar target classification method b...
This thesis presents a feasibility study on the implementation of fuzzy logic system as opposed to u...
This paper discusses a method for improving accuracy of fuzzy-rule-based classifiers using particle ...
The problem of identifying radar targets without predetermined knowledge or measurements of their as...
The radar echo classifier (REC) is a data fusion system that uses “fuzzy-logic ” techniques (Kosko, ...
The paper deals with classification of ground radar targets. Areceived radar signal backscattered fr...
The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected targets ...
In this paper, a study on the optimization of fuzzy classifier using radar cross section(RCS) values...
classifier) is proposed in this paper. This classifier is described for finding the decision hyperpl...
Abstract—The fuzzy fractal characteristics of return signals from aircraft targets in conventional r...
This paper presents a fuzzy classifier with the fuzzy rules base extracted from data and optimised b...
The electromagnetic target classification is a challenging problem since the scattered field from a ...
ABSTRACT: The aim of this paper is two fold. First, we present a through experimental study the diff...
International audienceComplex target recognition tasks rarely succeed through the application of jus...
The paper describes the application of the optimization method of fuzzy automatic classification in ...
This study introduces a novel aspect and polarisation invariant radar target classification method b...
This thesis presents a feasibility study on the implementation of fuzzy logic system as opposed to u...
This paper discusses a method for improving accuracy of fuzzy-rule-based classifiers using particle ...
The problem of identifying radar targets without predetermined knowledge or measurements of their as...
The radar echo classifier (REC) is a data fusion system that uses “fuzzy-logic ” techniques (Kosko, ...
The paper deals with classification of ground radar targets. Areceived radar signal backscattered fr...
The Forward scattering radars (FSRs) are special types of Bistatic radars in which detected targets ...