基于路径损耗模型参数实时估计的无线定位方法

Wireless Localization Algorithm Based on Path Loss Model Parameter Estimated in Real-Time

定位技术在无线传感器网络中越来越引起人们的重视。针对传统的测距算法中,使用固定路径损耗模型会造成较大测距误差的问题,提出了一种基于RSSI的动态调整信号路径损耗模型参数的协作定位方法。该方法首先根据RSSI确定定位节点所在的最小子区域,然后通过该区域内已知参考节点间的相互合作估算出该子区域的路径损耗模型参数,再根据得到的路径损耗模型实现准确测距,从而减小定位误差。仿真和实验结果验证了该方法提高了定位精度。

Localization in wireless sensor networks has drawn increasing attention. According to the problem that it makes a major error by the use of fixed parameters for the measurement of distance,in this paper we proposed an RSSI based cooperative localization algorithm by adjusting the signal propagation model dynamically. Firstly,this method determines the most minimal region where the location node locates according to the RSSI. Then the parameters of path loss model can be evaluated by the cooperation between known nodes in that region. After that we can get accurate distance measurement according to the path loss model,and thereby the location error can be reduced. From the simulation and experiment,we verify that the proposed algorithm can provide higher localization accuracy.