Title :
Multifractal spectrum features based classification method for aircraft
Author :
Qiusheng Li;Weixin Xie;Jingxiong Huang
Author_Institution :
School of Physics and Electronic Information, Gannan Normal University, Ganzhou, China
Abstract :
The multifractal spectrum characteristics of aircraft echoes from low-resolution radars offer a fine description of dynamic characteristics which induce the echo structure; therefore they can provide a new way for aircraft target classification and recognition with low-resolution radars. On basis of introducing the elementary theory of multifractal, the paper analyzed the multifractal spectrum characteristics of aircraft echoes along with the extraction method of their multifractal spectrum features by means of the multifractal analysis of measures, and proposed the classification method for different types of aircraft targets from the viewpoint of pattern classification. The results of classification experiments with real recorded echo data showed the multifractal-spectrum-feature-based classification method can classify different types of aircraft effectively, thus. the defined characteristic parameters could be used as effective features for aircraft target classification.
Conference_Titel :
Radar Conference 2015, IET International
Print_ISBN :
978-1-78561-038-7
DOI :
10.1049/cp.2015.0961