基于LS-Kalman的无线传感器算法研究

常用的定位算法用于无线传感器定位时的性能很不稳定且误差很大,为此提出一种更高精度的定位算法。该算法前期使用基于非测距的DV-HOP算法进行初始定位,后期用改进的最小二乘-卡尔曼滤波(LS-Kalman)对初始定位进行循环求精。本文采用MATLAB仿真软件分别对二维和三维无线传感器网络节点进行实验,实验结果表明该算法三维定位收敛更快,定位精度更高,且算法更简单。

Study of Wireless Sensor Networks Based on LS-Kalman Algorithm

The common locating algorithm used for wifeless sensor is unstable and has many errors, so a more accurate locating algorithm is presented. This algorithm uses DV-HOP algorithm which based on non-ranging to locate initial position, and then uses the LS-Kalman algorithm to cycle refinement. 2D and 3D nodes are compared by MATLAB simulation software. The result indicates that this algorithm has the characteristic of quicker 3D locating convergence, higher accuracy and simple algorithm.