摘要
This paper considers outdoor fingerprinting localization in LTE cellular Networks,which can localize non-cooperative user equipment(UE)that is unwilling to provide Global Positioning System(GPS)information.We propose a low-cost fingerprinting localization scheme that can improve the localization accuracy while reducing the computational complexity.Firstly,a data filtering strategy is employed to filter the fingerprints which are far from the target UE by using the Cell-ID,Timing Advance(TA)and eNodeB environment information,and the distribution of TA difference is analyzed to guide how to use TA rationally in the filtering strategy.Then,improved Weighted K Nearest Neighbors(WKNN)are implemented on the filtered fingerprints to give the final location prediction,and the WKNN is improved by removing the fingerprints that are still far away from the most of the K neighbors.Experiment results show that the performance is improved by the proposed localization scheme,and positioning errors corresponding to Cumulative Distribution Function(CDF)equaling to 67% and 95% are declined to 50 m and 150 m.
This paper considers outdoor fingerprinting localization in LTE cellular Networks, which can localize non-cooperative user equipment(UE) that is unwilling to provide Global Positioning System(GPS) information. We propose a low-cost fingerprinting localization scheme that can improve the localization accuracy while reducing the computational complexity. Firstly, a data filtering strategy is employed to filter the fingerprints which are far from the target UE by using the Cell-ID, Timing Advance(TA) and eNodeB environment information, and the distribution of TA difference is analyzed to guide how to use TA rationally in the filtering strategy. Then, improved Weighted K Nearest Neighbors(WKNN) are implemented on the filtered fingerprints to give the final location prediction, and the WKNN is improved by removing the fingerprints that are still far away from the most of the K neighbors. Experiment results show that the performance is improved by the proposed localization scheme, and positioning errors corresponding to Cumulative Distribution Function(CDF) equaling to 67% and 95%are declined to 50 m and 150 m.
基金
supported by the ZTE Industry-Academia-Research Cooperation Funds under Grant No.20160722-01
