基于RSSI的室内测距模型优化技术  

Model of indoor distance measurement optimization techniques based on RSSI

作　　者：陶佳峰 杨晓洪[1] 王剑平[1] 张果[1] 

机构地区：[1]昆明理工大学信息工程及自动化学院,云南昆明650500

出　　处：《传感器与微系统》2017年第1期24-26,30,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61364008);云南省应用基础研究重点项目(2014FA029);云南省教育厅重点基金资助项目(2013Z127);昆明理工大学复杂工业控制学科方向团队建设计划资助项目

摘　　要：由于室内环境下基于接收信号强度指示(RSSI)的测距技术存在非视距和多径传输的影响,测距误差比较大。为了降低信号传播过程中受到干扰的程度,通过调节节点功率、将节点放置在较高位置以减少人流对信号的影响,并采用多重滤波算法对采集的RSSI进行数据滤波处理,得到RSSI值的准确、平滑输出,采用最小二乘法多次对信号衰减模型的参数进行拟合,得到满足具体环境的参数值,通过测距模型进行实时测距。通过低功耗、远距离的蓝牙4.0模块组建收发节点进行验证分析。实验结果表明:该改进方案不仅明显提高了室内测距模型的准确度,且在实际应用的推广具有很高的参考价值。Due to impact of non-line of sight and muhipath transmission of the indoor environment based on received signal strength indication （RSSI）ranging technology, ranging error is relatively large. In order to reduce the degree of interference in signal propagation,by adjusting power of node,the node is placed in a higher position to reduce the impact of stream of people on signals and using multiple filtering algorithm for the acquisition of RSSI data filtering processing to obtain accurate and smoothing output of RSSI value, and then using the least squares method to fit parameters of signal attenuation model many times to obtain parameters which meet specific environment, and real-time ranging by ranging model. By low-power, remote Bluetooth 4. 0 module, set up transceiver node to verify and analyze. Experimental results show that the improved scheme not only significantly improve accuracy of indoor ranging model, but also has high reference value in the promotion of practical applications.

关 键 词：接收信号强度指示 多重滤波算法 节点位置和功率 最小二乘法 蓝牙低功耗技术 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]