摘要
为克服接收信号强度指示(RSSI)测量误差对无线传感器网络节点定位精度的影响,提出使用卡尔曼滤波对RSSI值进行滤波处理。通过卡尔曼滤波可明显降低RSSI值的波动,减小了定位算法中阈值判定的错误概率。该方案将整体环境进行分割,对分割后的子区域参考节点的可靠性通过权值进行衡量,取可靠性最高的3个参考节点完成定位,采用CC2430无线传感器芯片实现该定位系统。实验表明,该定位方法的准确度在90%以上。
In order to overcome the received signal strength indicator （RSSI） measurement error influence on wireless sensor network node location accuracy, we put forward using kalman filter to filter the RSSI value. It can sig- nificantly reduce the volatility of RSSI values, and decreased the error probability of threshold determination in locali- zation algorithm. In this scheme, the overall environmental will be divided sub areas, and then the three reference nodes of the highest reliability which is measured by weights are taken to complete the localization. Through the exper- iment on CC2430 Wireless sensor chip,it shows that the accuracy of the positioning system is above 90%.
作者
曹雪朋
施伟斌
CAO Xuepeng SHI Weibin(School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, Chin)
出处
《电子科技》
2017年第1期94-96,共3页
Electronic Science and Technology
