一种基于概率模型的改进Scout无线定位算法

Improved Scout wireless location algorithm based on probabilistic model

基于概率模型的Scout定位算法借助分布于现场的参考标签对各传输参数进行实时修正,定位精度较高,但是由于需要一定数量的参考标签,其定位节点数多,硬件成本高.本文提出了一种基于概率模型的改进Scout算法,在保证定位精度的情况下将定位节点数减少了一半,大大降低了定位系统的硬件成本.

The Scout positioning algorithm based on probabilistic model corrects each transmission parameters real-timely by the reference tags distributed in the field.Its positioning accuracy is high,however,due to a certain number of reference tags,the positioning method has large number of positioning nodes and costly hardware.To this end,we propose an improved Scout wireless location algorithm based on probabilistic model in this paper.The algorithm reduced the positioning nodes by half in the case of ensuring the high positioning accuracy,which greatly reduces the hardware cost of the positioning system.