Research on the Battlefield Ferromagnetic Targets Recognition

Abstract:

In-depth analysis of the characteristics of the battlefield on the basis of ferromagnetic targets, according to the problems of magnetic fuse detection system, such as low detection resolution and poor status of target recognition, the new type of magnetic sensors based on Giant Magneto-Impedance(GMI) effect, because of the sensitivity, power consumption, etc. natural advantages, with its fuse detection system for the magnetic core components, combined with fuzzy neural networks, can guarantee that probe nano-Tesla(nT) accurately identify the target within the scope. Then, equable magnetization rotation elliptic is used to simulate the tank and military truck, taking the magnetic moments and semi-focal length, that are M_x, M_y, M_z and 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 achieved good recognition results through experimental verification, and it has great significance to improve detection range and recognition accuracy.

• Periodical: Applied Mechanics and Materials (Volumes 198-199)
• Pages: 1067-1072
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.198-199.1067
• Online since: September 2012
• Authors: Cai Peng Wu, Jia Hao Deng, Xiao Yi Wu, Li Jun Yan, Lin Wang
• Keywords: Ferromagnetic Targets, Fuzzy Neural Network (FNN), GMI, Magnetic Sensor

References

[1] K Mohri, T Uchiyama, L P Shen et al, in: Journal of Magnetism and Magnetic Materials, 2002, 24(9): 351-356.

[2] T Kudo, N Tsuji, T Asada, et al, in: IEEE Trans. Magn, 2006, 19 (43): 3062-3064.

[3] Sun Ji, Deng Jiahao, Gao Zhen, et al, in: Journal of Tsinghua University, 2008, S2(48): 1868-1872.

[4] Tian Jingwen, Gao Meijuan: Artificial neural network algorithm research and application, edited by Beijing Institute of Technology Press, Beijing (2006).

[5] T Tanaka, M Sano: IEEE Trans. on Fuzzy Sets, 1994, Vol. 2: 119-134.

[6] Lin Chunsheng, Xiang Qian, Gong Shenguang: Journal of China Ordnance, 2005, Vol. 26(2): 192-195.

[7] Wang Haiyun, Dong Daqun: Ship Engineering, 1999, No. 3: 46-49.

[8] Chen Zhenghong, Fei Baojun, et al: Journal of Academy of Armored Force Engineering, 2005, No. 1: 90-92.

[9] Sun Ming, Gong Shenguang, Zhou Jun: Ship Engineering, 2002, No. 5: 30-33.

[10] Sun Ji, Deng Jiahao, Gao Zhen, et al: submitted to Transactions of Beijing Institute of Technology, 2009, Vol. 29(2): 95-99.

[11] Ye Pingxian, Gong Shenguang: The physical field of warship(Weapon Industry Press, Beijing 1992).

[12] Li Guoyong: Neuro-Fuzzy Control Theory and Applications(Electronics Industry Press, Beijing 2009).