权重和误差双修正的质心定位算法

摘要

To improve the positioning precision of node, the distance weights are adjusted and the model of beacon nodes and unknown nodes is constructed, and the matching weight correction coefficient is found for distance weight. In addition, the error of received signal strength indication( RSSI) distance measurement is corrected, and by adopting the actual distance between corrected node and beacon node and RSSI measured distance to correct the RSSI distance measurement error factor for distance measurement between unknown node and beacon node. The results of simulation show that the improved algorithm strengthens the weight effect for distance between beacon node and unknown node, and reduces the error influence of RSSI distance measurement, thus enhances the positioning accuracy for unknown nodes.%为了提高节点的定位精度，对距离权重进行调节，建立信标节点与未知节点的距离模型，并为距离权重匹配权重修正系数。对接收信号强度指示( RSSI)测距产生的误差进行修正，利用修正节点与信标节点的实际距离和RSSI测距距离来校正未知节点与信标节点的RSSI测距误差因子。仿真结果表明，改进算法强化了信标节点与未知节点间距的权重影响，减少了RSSI测距带来的误差影响，提高了未知节点的定位精度。