论文部分内容阅读
针对信标位置存在误差情况下的三维无线传感器网络节点定位问题,提出一种基于正交回归的多跳定位方法.同时考虑到自变量误差和因变量偏差对节点坐标估计的影响,基于约束加权正交回归参数估计准则,建立可容忍信标位置误差的三维多跳定位模型,解决了信标位置和距离估计两方面的误差并存时的节点自定位问题,并给出求解节点坐标最优值的数值方法;推导出相应的坐标估计精度评估标准3D-MCRB(3D Multi-hop Cramér-RaoBound).仿真结果表明:此方法对信标位置误差和距离估计误差都具有较好的抑制能力,在大多数实验条件下,能将定位精度提高10%以上.
A multi-hop localization method based on orthogonal regression is proposed to solve the problem of three-dimensional wireless sensor network node localization with the error of beacon position. At the same time, taking into account the influence of independent variable error and dependent variable deviation on node coordinate estimation, Orthogonal regression parameter estimation criteria to establish a three-dimensional multi-hop positioning model that can tolerate the position error of the beacon, and solves the problem of node self-localization when both the error of the beacon position and the distance estimation exist coexist. Finally, (3D Multi-Hop Cramér-RaoBound). The simulation results show that this method has a good ability to suppress the position error and distance estimation error of beacon Under most experimental conditions, the positioning accuracy can be improved by more than 10%.