Research and Implementation of Adaptive Clustering Algorithm with Timeliness

摘要：

　　After summarizing and analyzing the characteristics and weaknesses of passive radar,this paper comes up with the Timeliness Adaptive Clustering Algorithm (TACA), improving the operating efficiency of the system by reducing the number of clustering samples according to the timeliness of the track points and dealing with the gradually increased track points.Another contribution is to enhance the accuracy of clustering by implementing adaptive distance threshold,solving the sparse, uneven spatial and spatio-temporal distribution of track points.The results of the research prove the proposed algorithm is effective and practical/adaptable.

关键词： Passive radar clustering timeliness adaptive

作者: Yubin Xi JiaoYun Yang Fan Zhang Xin Wang Xiao

作者单位: The Institute of Intelligent Information Processing, School of Computer Science and Engineering,Beih State Key Laboratory of Mathematical Engineering and Advanced Computing (PLA Information Engineering

会议类型: 国际会议

会议名称: International Conference on Computational Science and Engineering Applications(CSEA2015)2015计算机科学与工程应用国际会议

会议地点: 三亚

会议语种:英文

页码: 31-37

在线出版日期: 2015-12-26（万方平台首次上网日期，不代表论文的发表时间）