基于改进接收信号强度指示的室内定位算法

发布时间：2018-05-20 01:39

  本文选题：无线传感网络 + 室内定位　； 参考：《激光杂志》2014年12期

【摘要】：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。
[Abstract]:In order to improve the localization accuracy of indoor environmental nodes, an indoor localization algorithm was proposed to improve the intensity indication of received signals in order to overcome the shortcomings of traditional localization algorithms. Firstly, the weights of the received signal intensity of each anchor node are fitted by neural network, and the parameter values of the path loss model are obtained, then the unknown nodes are located by the maximum likelihood method. Finally, the performance of the unknown nodes is tested by simulation experiments. The results show that compared with other indoor positioning algorithms, this algorithm can improve the accuracy of indoor positioning, reduce the average positioning error, and meet the real-time requirements of indoor positioning.
【作者单位】： 琼州学院电子信息工程学院;
【分类号】：TN911.25
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本文编号：1912634