基于BP神经网络的ZigBee无线定位技术

提出一种利用BP神经网络算法与RSSI测量值结合的新型定位方法。该方法首先建立一个定位环境模型，设定有限个数的参考节点．通过实测一定数量RSSI一坐标数据组作为样本数据训练得到一类BP神经网络模型。完成后的BP网络模型可用于盲点坐标的定位。实验表明，该方法具有较好的定位性能。

ZigBee Wireless Location Technology Based on BP Neural Networks

Proposes a new locating method which applies BP neural network algorithm and the value of RSS1 in ZigBee wireless networks. In this method, an experimental place is built up with a limited number of reference nodes, and the BP neural networks model is trained by a certain number of RSSI-coordinate data sets as the sample data. The accomplished model can be used to predict the location of unknown nodes. The experiment result shows that the proposed method has better performance in locating.