Multifractal Modelling of Aircraft Echoes from Low-resolution Radars Based on Structural Functions

Qiu Sheng Li; Wei Xin Xie

doi:10.14429/dsj.63.3773

Qiu Sheng Li Shenzhen University, Shenzhen
Wei Xin Xie Gannan Normal University, Ganzhou

DOI: https://doi.org/10.14429/dsj.63.3773

Keywords: Low-resolution radar, multifractal, random walk process, incremental process, target recognition

Abstract

As a kind of complex targets, the nonrigid vibration and attitude change of an aircraft as well as the rotation of its rotating parts will induce complex nonlinear modulation on its echo from low-resolution radars. If one performs the multifractal analysis of measures on an aircraft echo, it may offer a fine description of the dynamic characteristics which induce the echo structure. On basis of introducing multifractal theory based on structural functions, the paper models real recorded aircraft echo data from a low-resolution radar by using the random walk process and the incremental process respectively, and investigates the application of echo multifractal characteristics in aircraft target classification with low-resolution radars. The analysis shows that aircraft echoes from low-resolution radars have clear multifractal characteristics, and one should take an aircraft echo series as a random walk process to perform the multifractal analysis. The experimental results validate the classification method based on multifractal signatures.

Defence Science Journal, 2013, 63(5), pp.515-520, DOI:http://dx.doi.org/10.14429/dsj.63.3773

Author Biographies

Qiu Sheng Li, Shenzhen University, Shenzhen

Mr Qiu Sheng Li, has received his bachelor degree in automatic control from Tongji University, Shanghai, in 1998 and master degree in signal and information processing from Beihang University, Beijing, in 2004. Currently pursuing his PhD from Shenzhen University, Shenzhen, China and is with the School of Physics and Electronic Information, Gannan Normal University, Ganzhou, China. His fields of interests includes: Intelligent information processing, automatic target recognition and tracking.

Wei Xin Xie, Gannan Normal University, Ganzhou

Prof Wei Xin Xie has received the bachelor degree from Xidian University, Xi’an, in 1965. Currently working in the College of Information Engineering, Shenzhen University, Shenzhen, China. His fields of interests includes: Intelligent information processing, fuzzy information processing, image processing, pattern recognition, etc.