一种基于核方法的无线传感器网络定位算法

无线传感器网络（WSN）作为一种新兴的分布式网络技术，被认为是21世纪改变世界的十大革新技术之一。定位是无线传感器网络的重要支撑技术之一，实现传感器节点自定位是提供监测目标位置信息的必要条件。而实现高效、可靠、准确的节点定位对目标跟踪具有重要意义。不幸的是，环境噪声使得节点的定位精度降低。基于此，该文提出一种基于核方法的无线传感器网络定位算法。实验表明，在WSN中通过采用卡尔曼滤波的核方法定位算法，一定程度上减少了随机噪声对节点定位精度的影响，有效的降低了系统定位误差，实现一定程度的抗干扰。

A Localization Algorithm for Wireless Sensor Network based on Kernel Method

Wireless Sensor Network （WSN） as a new distribute network, was considered to be one of the ten new technologies in the 21st century. The sensor node localization technology is one of the most supporting technologies in WSN. To provide the location information of the monitoring target, we must achieve self-localization function of the sensor node above all. It’s very significant to achieve highly effective, reliable and accurate node localization information for target tracking. Unfortunately, the environmental noise reduces the precision of the sensor node localization. To address this issue, a localization algorithm for Wireless Sensor Network based on kernel method has proposed in this paper. The results show that the localization algorithm based on kernel method using Kalman filtering reduces the influences on the accuracy of the sensor node localization, reduces the error of the localization and implement the anti-interference in a way.