基于三维封闭式测距球动态调整的WSN定位

阚瑞祥 王玫

摘  要： 為提高无线传感器网络（WSN）源节点定位算法的性能优势，提出一种考虑扩展三维测距球RSS算法的WSN节点定位方法。首先，通过对接收信号强度（RSS）的测量，提出非模糊闭合估计方法，对无线信道阴影噪声下的源位置进行几何定位;其次，针对测距中的测量误差，将动态调整方案应用于定位算法中，通过对RSS的多次测量，得到源定位误差的下限;最后，数值模拟结果表明，该估计方法优于传统的最小二乘估计方法，特别是在参考传感器节点接近共面的不利情况下，与接近局部化下限的最大似然估计方法相比，该方法计算量小，且对局部化精度影响不大。

关键词： 无线传感器网络定位; 误差下限获取; 接收信号强度测量; 几何定位; 动态调整; 数值模拟

中图分类号： TN711?34; TP391                   文献标识码： A                      文章编号： 1004?373X（2020）08?0068?04

WSN positioning based on dynamic adjustment of 3D closed ranging sphere

KAN Ruixiang， WANG Mei

（College of Information Science and Engineering， Guilin University of Technology， Guilin 541006， China）

Abstract： A WSN node localization method based on the extended 3D ranging sphere RSS （received signal strength） algorithm is proposed to improve the performance advantage of WSN source node localization algorithm. A non?fuzzy closed estimation method is proposed by measuring the RSS， by which the geometric positioning of the source location under the shadow noise of wireless channel is carried out. In view of the measurement error in ranging， the dynamic adjustment scheme is applied to the positioning algorithm to obtain the lower limit of the source positioning error by multiple measurements of RSS. The numerical simulation results show that the estimation method is superior to the traditional least squares estimation method. Especially in the case that the reference sensor node is close to the coplane， in comparison with the method of the maximum likelihood estimation closed to the localization lower limit， the amount of the calculation of this method is smaller， which has little influence on the localization accuracy.

Keywords： WSN positioning; error lower limit deriving; received signal strength measurement; geometric positioning; dynamic adjustment; numerical simulation