基于曲线拟合的无线传感器网络目标定位算法

针对无线传感器网络的目标定位精度问题,提出了一种基于曲线拟合的目标定位算法.采用最小二乘法对目标经过的各个位置进行拟合,计算出近似目标运动轨迹的曲线参数;进而通过分段曲线拟合的方式,引入更多位置信息参加目标定位,从而减少定位过程中的误差因素,最终实现对网络中运动目标的定位与跟踪.实验结果表明,该算法具有比一般曲线拟合方法更高的目标定位精度,有效提高了无线传感器网络目标定位的准确性.

Target locating algorithm based on curve-fitting in wireless sensor networks

Focusing on the accuracy of target locating in wireless sensor networks,a target locating algorithm based on curve-fitting is proposed.With least square fitting to the positions of all targets,the curve parameters of the approximate target traveling path are calculated.Moreover,more localization information is introduced to participate in target locating via piecewise curve fitting,thus erroneous factor is reduced in the process of localization.Finally,the localization and tracking of the target is realized.Test results indicate that the proposed algorithm brings higher target locating precision than general curve fitting method,thus the accuracy of target locating in wireless sensor networks can be improved effectively.