Sources Localization via Multi-Dimesional Scaling Based On Subspace Method

摘要：

　　There is no doubt that the issue of estimate locations for unknown sources has been mattering a lot of debate in recent years,in the field of communication,Radar,Navigation,wireless sensor networks,...etc.In this paper,the multidimensional scaling (MDS) based on subspace method was applied to solve the addressed issue in the presence of distance information that acquired from TOA measurements.The Simulation results show the significant consequences compared with Cramer-Rao lower bound (CRLB) as well as the modified version of classical Multi-dimensional scaling,it became close to the lower bound of variance when the signal to noise ratio increased.

关键词： multi-dimensional scaling subspace Method time of arrival distance measurements

作者: Hesham Ibrahim Ahmed Wan Qun M.Ramadan Ding Xue-ke Zhou Zhi-ping

作者单位: University of electronic Science and Technology of China School of communication and information eng University of electronic Science and Technology of China School of communication and information eng Karary University Omdurman,Khartoum,Sudan Tongfang Electronic Science and Technology co.,ltd,Jiujiang,Jiangxi,China P.R.

会议类型: 国际会议

会议名称: 2016IEEE第二届信息技术、网络、电子及自动化控制会议

会议地点: 重庆

会议语种:英文

页码: 756-760

在线出版日期: 2016-03-20（万方平台首次上网日期，不代表论文的发表时间）