【摘要】 蓝牙信号强度在室内环境下易受人员扰动等环境因素影响,从而影响定位精度。基于RSSI测距的蓝牙室内定位原理,将人员等扰动视为异常误差,采用胡贝尔、汉佩尔、IGG和LEGE四种抗差算法,比较分析了不同抗差算法的定位提升效果。试验结果表明,不管有无人员扰动,四种抗差算法均可改善定位精度,其中IGG法定位精度最高,约为3m,且有较好的稳定性。更多还原

【Abstract】 In indoor environment, Bluetooth signal strength is easily affected by environmental factors such as human disturbance, which affects the positioning accuracy. In this paper, Based on the Bluetooth indoor positioning principle of RSSI ranging, personnel and other disturbances are regarded as abnormal errors, and four kinds of robust algorithms including Huber, Hampel, IGG and LEGE are used to compare and analyze the positioning improvement effects of different algorithms. Regardless of disturbance, the experimental results show that different robust algorithms can effectively improve the positioning accuracy with or without human disturbance, and IGG has the highest positioning accuracy, about 3 m, and better stability.更多还原