一种WiFi距离交会加权融合定位算法

摘要

WiFi indoor location algorithm based on distance rendezvous is influenced by the environment . The lower precision of distance inversion results in bigger positioning error ,and the influences of different distance inversion models vary for positioning error characteristics .Because of over‐smoothing ,and bigger error ,this paper proposes a weighted fusion positioning algorithm based on GPR prediction model and loss model .The experiment results show :the fusion algorithm can effectively improve the positioning accuracy and obviously improve the centralisation of positioning results based on GPR model .%基于距离交会的WIFI室内定位算法受环境的影响，距离反演精度较低导致定位误差较大，不同距离反演模型对定位误差影响特性存在差异。考虑到GPR距离反演模型过度平滑引起定位结果扎堆的缺陷和传统损耗模型反演精度过低引起定位结果误差较大的缺陷，提出一种基于GPR预测模型和损耗模型的加权融合定位算法。实验结果表明：该融合算法能够有效提高定位精度并明显改善基于GPR模型定位算法的定位结果扎堆现象。