基于WiFi的室内定位系统设计与实现

Design and Implementation of Indoor Localization System Based on Wifi.Computer Engineering and Its Applications

针对传统的指纹识别室内定位算法中指纹地图制作阶段需要大量的人工测量成本和室内环境中无线信号不稳定等问题,设计了一套基于K-strongest RSS Index(KSRI)算法的室内定位系统。通过KSRI算法的定位原理、定位模型和定位算法说明了其可行性,并进行了系统软件设计和系统性能测试。相比NN(Nearest Neighbor)和KNN(K-Nearest Neighbor)算法,KSRI算法在定位精确度、定位稳定性和计算量等方面均取得了最佳性能。基于KSRI算法的室内定位系统可以很好的解决室内的定位问题,具有很大的使用价值和应用前景。

In consideration of the problem that fingerprint map needs large manual detecting cost and the received signal strength(RSS)is not stable in the fingerprint identification algorithm,this paper designs an indoor localization system based on KSRI(K-strongest RSS Index)algorithm.Experimental results demonstrate that the principle of KSRI algorithm,its localization model and algorithm present indicate its feasibility.And it is used for software design and its performance testing.Compared with NN(Nearest Neighbor)and KNN(K-Nearest Neighbor)algorithms,KSRI algorithm has high precision,stable localization and calculation result,it obtains good performance.Indoor localization problem is well solve based on KSRI localization system,it has good prospects and high value of applications.