RESEARCH ON ANALYSIS OF MULTIFRACTAL CORRELATION CHARACTERISTICS OF AIRCRAFT ECHOES AND CLASSIFICATION OF TARGETS IN SURVEILLANCE RADARS

Abstract

Multifractal correlation, which studies the spatial correla- tion characteristics of two points with difierent singularity indexes, is a generalization of multifractal single point statistic. This paper intro- duces multifractal correlation theory into the characteristic analysis of aircraft echoes from low-resolution surveillance radars, and discusses the application of multifractal correlation characteristics in target clas- siflcation. Firstly, on basis of introducing multifractal correlation the- ory, the multifractal correlation characteristics of aircraft echoes from surveillance radars are analyzed in detail by means of the multifrac- tal correlation analysis. Secondly, on basis of the foregoing analysis, several characteristic parameters of the echo multifractal correlation spectrum are deflned, and the support vector machine (SVM) based on the deflned characteristic parameters is taken as the classifler to classify difierent types of aircraft targets. Finally, real recorded air- craft echo data are adopted to do the classiflcation experiments, and the experimental results validate the proposed method.