摘要
超宽带(UWB)测距的室内定位在商场、住户、医院等地应用十分广泛,提高室内定位竞争力的是定位精度。为了实现实际测量过程中在各种干扰条件下较为准确的测距,采用了卡尔曼滤波算法,尽可能的减少外界干扰对测距的影响,以减少测量误差。针对UWB测距精度提高问题,设计了以卡尔曼滤波为处理算法的对比实验,结果为测距精度有较大提高,在实验环境下误差从5.8%减少到了2.44%,在精度提高最明显的距离通过绘图分析表明数据的可靠性提高,测距精度提高了58%。实验表明,卡尔曼滤波方法有效地提高了UWB的测距精度。
Ultra-wide band(UWB) ranging indoor positioning is widely used in shopping malls, residents, hospitals and other places, improving the competitiveness of indoor positioning is positioning accuracy. In order to achieve accurate ranging under various interference conditions in the actual measurement process, Kalman filter algorithm is adopted to reduce the influence of external interference on ranging as much as possible, so as to reduce the measurement error. Aiming at the problem of UWB ranging accuracy improvement, a comparative experiment using Kalman filter as processing algorithm is designed. The results show that the ranging accuracy has been greatly improved, and the error has been reduced from 5.8% to 2.44% in the experimental environment. In the distance where the accuracy is most obviously improved, the data reliability has been improved and the ranging accuracy has been improved by 58% through drawing analysis. Experimental results show that Kalman filter can effectively improve the ranging accuracy of UWB.
作者
任昊誉
郭晨霞
杨瑞峰
Ren Haoyu;Guo Chenxia;Yang Ruifeng(Shanxi Automation Testing Equipment and System Engineering Technology Research Center,School of Instrument and Electronics,North University of China,Taiyuan 030051,China)
出处
《电子测量技术》
北大核心
2021年第18期111-115,共5页
Electronic Measurement Technology
基金
山西省重点研发计划项目(201903D121118)
山西省回国留学人员科研项目(2020-111)资助。
