基于RSS无源被动定位算法的WSN研究

A study of WSN based on RSS passive positioning algorithm

在节点通信能力和能量有限的WSN中,针对基于无需额外硬件成本的RSS定位方法基础上保证高精度的无源被动定位问题,首先,对全网进行分簇,以簇为单位采用最小二乘法估计目标源位置,然后通过簇头节点将估计结果上传到sink节点;其次,在sink节点处对各单位簇的估计结果进行簇间数据融合以求得最终的定位解算.仿真结果表明,该方法能够实现使用少数节点参与定位却可达到使用全部节点时的定位精度.

In the WSN with a limited communication capability and energy, a high -precision passive location prob- lem is proposed based on the RSS positioning method without additional hardware costs. First, the whole network is clustered, the target source position is estimated by the least - squares method in clusters, and then the estimation result is uploaded to the sink node through the cluster head node. Secondly, the estimation results of each cluster are fused at the sink node to obtain the final positioning solution. The simulation results show that the method can realize the same positioning accuracy when using a small number of nodes to participate while using all nodes.