A method indoor Multi-path IR-UWB Location Based on Multi-Task Compressive Sensing

被引：0
|
作者：
Li, Xiaofei [1 ,2 ,3 ]
He, Di [4 ]
Jiang, Lingge [5 ,6 ]
Yu, WenSheng [7 ]
Chen, Xiaohua [8 ]
机构：
[1] WuYi Univ, Coll Math & Comp, Nanping, Fujian, Peoples R China
[2] East China Normal Univ, Shanghai Key Lab Trustworthy Comp, Shanghai, Peoples R China
[3] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Jiangsu, Peoples R China
[4] Shanghai Jiao Tong Univ, Shanghai Key Lab Nav & Locat Based Serv, Shanghai, Peoples R China
[5] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai, Peoples R China
[6] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing, Jiangsu, Peoples R China
[7] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing, Peoples R China
[8] HuZhou Univ, Sch Informat & Engn, Huzhou, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF 2016 FOURTH INTERNATIONAL CONFERENCE ON UBIQUITOUS POSITIONING, INDOOR NAVIGATION AND LOCATION BASED SERVICES (IEEE UPINLBS 2016) | 2016年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In the paper, the ultra-wideband (UWB) localization method based on multi-task compressive sensing (MT-CS) is proposed to solve the UWB localization accuracy performance problem. In the indoor multi-path NLOS environment, the transmission channel pulse response (CIR) is estimated precisely by use of the MT CS algorithm, and least square error (LSE) algorithm are calculated to estimate the target location. The simulation results illustrate that the MT-CS algorithm compared with the BCS algorithm can estimate the localization more precisely, and approximate the CRLB algorithm. Meanwhile, the MT-CS algorithm possesses advantage to apply in the UWB location.
引用
收藏
页码：259 / 263
页数：5
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