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Promoted clustering method for the measurement-transmitter association in sfn based passive radar systems 期刊论文  iSwitch采集
Iet radar sonar and navigation, 2016, 卷号: 10, 期号: 7, 页码: 1295-1302
作者:  
Li, Xiaobo;  Guan, Xin;  Zhong, Lihua;  Hu, Donghui;  Ding, Chibiao
收藏  |  浏览/下载:47/0  |  提交时间:2019/05/09
An electro-optical tracking method in target separation based on fuzzy clustering association rules (EI CONFERENCE) 会议论文  OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Guo T.-J.; Gao H.-B.; Zhang S.-M.; Wu Y.-J.
收藏  |  浏览/下载:26/0  |  提交时间:2013/03/25
An effective tracking method is proposed to solve the problem that the electro-optical tracking system in Missile Range easily loses the real target during the target separation. Before target separation  the error correcting value of the theoretical trajectory is obtained by the theoretical trajectory correcting algorithm. In the phase of target separation  the theoretical trajectory of the target is corrected by the error correcting value firstly  and then the fuzzy clustering association algorithm is applied to calculate the similarity between the measuring data of the target from sensors and the corrected theoretical trajectory. The similarity helps to identify whether the measured data is from the real target or not. Experimental results show that the authenticity of the target can be determined effectively. The identified results can be used as the decision-making basis of the servo sub-system and TV trackers  which can improve the continuous tracking probability of the electro-optical tracking system in the target separation. 2010 IEEE.