| 摘要: |
| 为了抑制iBeacon信号在传播过程中由于人员扰动、多径效应等引起的噪声，以及移动定位过程中定位结果的不稳定，在iBeacon室内定位系统中引入了卡尔曼滤波算法分别对采集到的iBeacon信号与移动定位结果进行处理。首先通过卡尔曼滤波对采集的信号进行处理，降低了信号噪声，提高了信号的质量，其次应用卡尔曼滤波对移动定位结果进行二次处理，提高了移动定位结果的稳定性与精度。实验结果表明,在办公室环境下采用卡尔曼滤波进行处理后可将1 m以内的定位精度提高到80%以上。 |
| 关键词: iBeacon室内定位 卡尔曼滤波 信号采集 实时定位 多径效应 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目（61402063）；重庆市科技人才培养计划（新产品研发团队）资助项目（CSJC2013KJRC-TDJS40012）；重庆市高校优秀成果转化资助项目（KJZH14213） |
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| Application of Kalman filter in an iBeacon indoor positioning system |
| KONG Qingda,YU Chengbo,LI Caihong |
| () |
| Abstract: |
| In order to suppress the iBeacon signal noise caused by the disturbance of staff and multipath effects in communication process,as well as improve the stability of positioning results during the mobile positioning process,the Kalman filter algorithm is introduced into an iBeacon indoor positioning system for respectively processing the collected iBeacon signal and mobile positioning results. Firstly,the Kalman filter is used to process the collected signal,as a result,the signal noise is reduced and the quality of signal is improved. Secondly,the Kalman filter is used to estimate the optimal value of the mobile positioning results so as to improve the stability and accuracy. Experimental results show that the positioning accuracy within 1 m can be increased to 80% by using the Kalman filter in the office environment. |
| Key words: iBeacon indoor positioning Kalman filter signal acquisition realtime positioning multipath effects |
《电讯技术》编辑部 