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提出了改进的三维空间模糊指纹定位方法(ITF)。该方法首先采用高斯模型对样本节点和未知节点的RSSI值进行过滤,建立样本点的指纹数据库,并将传统的求解高次坐标问题转换成空间隶属度的问题。利用模糊匹配算法计算未知节点与指纹库中各个已知样本点的贴近度,通过贴近度权系数定位未知节点。实验结果表明该定位方法比传统定位算法在降低误差方面具有更高的性能。
An improved three-dimensional fuzzy fingerprint location method (ITF) is proposed. Firstly, Gaussian model was used to filter the RSSI values of sample nodes and unknown nodes. The fingerprint database of sample points was established and the traditional problem of solving higher-order coordinates was transformed into spatial membership degree. The fuzzy matching algorithm is used to calculate the closeness between unknown nodes and each known sample point in fingerprint database, and the unknown nodes are located by the closeness weight coefficient. Experimental results show that the proposed method has higher performance than the traditional algorithm in reducing errors.