An Improved Kalman Filtering Method for Indoor Location
文献类型:会议论文
作者 | Guo TT(郭廷廷)![]() ![]() ![]() ![]() |
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
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。