中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An Improved Kalman Filtering Method for Indoor Location

文献类型:会议论文

作者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)
出版日期2016
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
关键词indoor location non-line of sight (NLOS) location algorithm Kalman filtering location accuracy
页码1747-1751
通讯作者郭廷廷
中文摘要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.
产权排序1
会议录2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016)
会议录出版者IEEE
会议录出版地New York
语种英语
源URL[http://ir.sia.cn/handle/173321/19508]  
专题沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式
GB/T 7714
Guo TT,Liu MZ,Qiao F,et al. An Improved Kalman Filtering Method for Indoor Location[C]. 见:2016 2nd IEEE International Conference on Computer and Communications (ICCC 2016). Chengdu, China. October 14-17, 2016.

入库方式: OAI收割

来源:沈阳自动化研究所

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