基于改进接收信号强度指示的室内定位算法

为了提高室内环境节点定位精度,针对传统定位算法的不足,提出一种改进接收信号强度指示的室内定位算法。首先通过神经网络对各锚节点接收信号强度的权值进行拟合,得到路径损耗模型的参数值,然后利用最大似然法对未知节点进行定位,最后采用仿真实验测试其性能。结果表明,相对其它室内定位算法,本文算法提高了室内定位的精度,降低了平均定位误差,可以满足室内定位的实时性要求。

Wireless indoorlocalization algorithm based on improved received signal strength indication

In order to improve the node positioning accuracy of indoor environment, this paper proposed an indoor location algorithm based on improved received signal strength indicator to solve he defects of traditional location algo_rithms. Firstly, the weights of received signal strength indication of each anchor node is fitted by BP neural network to get parameter values of the path loss model, and then the unknown node is localized by using the maximum likelihood method, finally the simulation experiment is carried out to test its performance. The results show that compared with other indoor localization algorithms, the proposed algorithm can improve positioning precision, reduce the average posi_tioning error, and can meet the real-time requirements of indoor localization.