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An Improved Kalman Filtering Method for Indoor Location
Guo TT(郭廷廷); Liu MZ(刘明哲); Qiao F(乔枫); Xu AD(徐皑冬); Liu QN(刘秦宁); Zhang N(张凝)
作者部门工业控制网络与系统研究室
会议名称2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016)
会议日期October 14-17, 2016
会议地点Chengdu, China
会议录名称2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016)
出版者IEEE
出版地New York
2016
页码1747-1751
收录类别EI ; CPCI(ISTP)
EI收录号20172303742204
WOS记录号WOS:000411576803005
产权排序1
ISSN号1095-2055
ISBN号978-1-4673-9026-2
关键词Indoor Location Non-line Of Sight (Nlos) Location Algorithm Kalman Filtering Location Accuracy
摘要Indoor real time location technology is widely used in large indoor space, and the location algorithm is the key part of the technology. For the signal interference problems in non-line of sight (NLOS) environment and the deficiency of the existing algorithms, an improved indoor wireless location algorithm based on Kalman filtering was proposed and the experimental tests are carried out. The experimental results show that the result of the two correction of Kalman filtering algorithm based on the discarded measurement method and the gain back method is closest to expectations. By using the two correction of Kalman filtering method, the experimental platform is set up to carry out the location test. The test results show that the location precision of the proposed method is very high, and the results are highly consistent with the experimental results.
语种英语
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19508
专题工业控制网络与系统研究室
通讯作者Guo TT(郭廷廷)
作者单位1.Faculty of Information and Control Engineering, Shenyang Jianzhu University (SJZU), Shenyang, China
2.Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, China
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GB/T 7714
Guo TT,Liu MZ,Qiao F,et al. An Improved Kalman Filtering Method for Indoor Location[C]. New York:IEEE,2016:1747-1751.
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