基于三维测距和LS-LM的传感器网络节点定位研究（英文）

为了有效提高无线传感网中三维测距节点定位的精确度,提出了一种基于三维测距和LS-LM的无线传感网节点定位算法。首先,运用了海伦公式的四面体体积公式,结合平面上向量旋转2维变换,在仅需要3个锚节点的情况下就能够得到估计距离和方向。其次,针对锚节点数量大于3的情况,利用Least-Square Levenberg-Marquardt (LS-LM)算法对目标节点的估计位置进行了优化。实验验证了提出算法在无线传感器网三维定位的可行性。仿真结果表明:与传统的3维LM和类似算法相比,提出算法的性能更好,定位精度提高了约8%。

Research on node location of sensor network based on 3D ranging and LS-LM

In order to effectively improve the accuracy of 3D ranging node localization in wireless sensor networks, a wireless sensor network node localization algorithm is proposed based on three-dimensional ranging and LS-LM. Firstly, the tetrahedral volume formula of Helen’s formula is used, combined with the 2D transformation of the vector rotation on the plane, the estimated distance and direction can be obtained when only three anchor nodes are needed. Secondly, for the case where the number of anchor nodes is greater than 3, the Least-Square Levenberg-Marquardt (LS-LM) algorithm is used to optimize the estimation position of the target node. The experiments verified the feasibility of the proposed algorithm in three-dimensional localization of wireless sensor networks. The simulation results show that the performance of the proposed algorithm is better and the localization accuracy could be improved by about 8% as compared with the traditional 3D LM and similar algorithms.