室内WLAN定位中位置指纹优化的接入点部署方法

Location fingerprint optimization based access point deployment in indoor WLAN localization

提出了一种新的室内WLAN定位中指纹优化的接入点(AP)部署方法。首先在最大化不同位置指纹信号强度间欧式距离的基础上构造注水优化模型,然后经过多次迭代的过零调整及离散调整处理,得到各AP候选位置的非负离散权重,最后根据最大平均权重准则,合理部署AP进而优化位置指纹。实验表明,所提方法能够获得较高的位置指纹定位精度及较低的AP优化位置搜索时间开销。

A novel access point(AP) deployment approach by optimizing the location fingerprints in indoor WLAN localization was proposed. Firstly, constructing the water-filling optimization model based on the maximum of the Euclidean distance of RSS between every two location fingerprints. Secoudly, after the process of the iterative cross-zero adjustment and discrete adjustment, the nonnegative and discrete weights of candidate AP locations were obtained. Finally, by using the criterion of maximum average weight, the APs, and consequently optimize the location fingerprints were deployed rationally. The experimental results demonstrate that the proposed approach is able to achieve high location fingerprint based localization precision, as well as consume low time overhead involved in the optimal AP location searching.