卡尔曼滤波在船舶无线传感网络节点定位中的应用

Application of Calman filter in the node localization of wireless sensor network

基于无线传感网络的信号传输在海航及海上开发中的应用越来越广,无线节点定位精度对网络的通信性能有较大的影响,无线传感网络中的节点定位技术是海上通信领域研究的重要方向。RSSI是一种利用传感器节点信号强度的定位测量方法,但由于海上的噪声干扰及地形影响,其定位精确度较低,已经越来越不能适应无线传感网络节点定位精度要求。本文将卡尔曼滤波算法应用到以信号强度为观测值的节点定位中,极大地提高了定位精度。

The application of signal transmission in offshore development is more and more extensive based on Wireless Sensor Network. Wireless sensor network localization accuracy has a great impact on the communication performance of the network, so the node localization technology in wireless sensor networks is an important direction in the field of Maritime Communications. RSSI is a kind of node localization method, which is located in the signal strength of the sensor node,but its location accuracy is low due to the noise interference of the sea and the influence of the terrain, has become increasingly unable to adapt to the wireless sensor network node positioning accuracy requirements. In this paper, the Calman filter algorithm is applied to the node location of the observation value, which greatly improves the positioning accuracy.