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消防员室内定位融合算法研究 被引量:4

Research on Fireman′s Indoor Positioning Fusion Algorithm
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摘要 为了解决消防员室内定位的实际需求,通过对多种室内定位技术分析比较,选择基于WIFI基站的RSSI定位和惯性定位融合的定位方法实现消防员室内定位。由于RSSI模型定位易受环境的影响,且惯性定位会随着时间的增加会出现累计误差,所以本文选择EKF模型对两种定位技术进行融合处理,发挥两种定位技术各自的优点,实现优势互补。实验测试结果表明,融合后的定位算法与单一的定位算法相比,定位精度都有较大的提高,并且算法复杂度较低,达到了研究的目的。 In order to solve the actual needs of firefighters′indoor positioning,through the analysis and comparison of various indoor positioning technologies,the positioning method based on RSSI positioning and inertial positioning fusion of WIFI base station is selected to realize indoor positioning of firefighters.Because the RSSI model location is susceptible to the environment,and the inertial positioning will accumulate error with time,this paper chooses the EKF model to fuse the two positioning technologies,and realize the advantages of the two positioning technologies to achieve complementary advantages.Experimental results show that the positioning algorithm has a higher positioning accuracy than the single positioning algorithm,and the algorithm complexity is low,which has achieved the purpose of research.
作者 齐华 胡南 张伟 刘军 Qi Hua;Hu Nan;Zhang Wei;Liu Jun(School of ELectronic Information Engineering,Xi'an Technological University,Xi'an 710021,China;Department of Communication Engineering,Engineering University of CAPF,Xi’an 710086,China)
出处 《电子测量技术》 2019年第20期68-71,共4页 Electronic Measurement Technology
基金 陕西省科技厅科研项目(2018GY-007)
关键词 室内定位 RSSI EKF indoor positioning RSSI EKF
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