A research of fuzzy neural network in ferromagnetic target recognition

Abstract

Based on deeply analyzing the characteristic of the battlefield ferromagnetic targets, according to the problems of magnetic detection system, for instance single detection pattern, low detection resolution and poor anti-interference performance, the Giant Magneto-Impedance(GMI) micro-magnetic sensor in combination with the technology of fuzzy neural networks(FNN) were carried as the core of the magnetic detection system. Take advantage of GMI sensor and FNN to realize accurate recognition of the target in the range of nan-otesla magnetic field. In this paper, equable magnetization rotation ellipsoid is used to simulate the tank and military truck, taking the triaxial magnetic moments and semi-focal length, that is M x, M y, M z, c as recognition characteristic quantity, and the FNN is used to recognize the tank and military truck including the categories and motion directions. The method reaches good recognition effect through experimental verification, and it has significance to improve detection range and recognition accuracy. © 2010 Springer-Verlag Berlin Heidelberg.