| 北斗／WSN网络的融合定位算法 |
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| 引用本文： | 黄佳,杨琛.北斗／WSN网络的融合定位算法[J].全球定位系统,2017,42(4):27-31. |
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| 作者姓名： | 黄佳 杨琛 |
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| 作者单位： | 上海海洋大学 工程学院,上海 201306 |
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| 摘 要： | 通过对传统的无线传感器网络RSSI定位算法的研究,分析了其定位精度差,响应速度慢等特点,结合北斗定位系统的优点,提出了一种传统无线传感器定位与北斗导航定位相融合的算法,通过卡尔曼滤波,将两种算法的数据进行融合,得到了新的融合定位算法。通过仿真分析可得,新的融合算法在定位精度和收敛速度上,相较于传统单一的无线传感器网络节点定位算法都有了相应的提高,通过对这一算法的仿真,仿真结果说明该算法切实可行。
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| 关 键 词： | 北斗 无线传感器网络 定位 |
The Architecture of Internet of Things System Based on BeiDou Satellite System and Wireless Sensor Network |
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| Affiliation: | School of Engineering, Shanghai Ocean University, Shanghai 201306, China |
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| Abstract: | Based on the research of traditional RSSI localization algorithm for wireless sensor networks, the characteristics of poor positioning accuracy and slow response are analyzed. Combining with the advantages of Beidou positioning system, an algorithm combining traditional wireless sensor positioning and Beidou navigation and positioning is proposed. The Kalman filter is used to fuse the data of the two algorithms, and a new fusion localization algorithm is obtained. Through the simulation analysis, the new fusion algorithm has a corresponding improvement in the positioning accuracy and convergence rate compared with the traditional single wireless sensor network node localization algorithm. The simulation results also show that the algorithm is feasible. |
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