Particle filter based positioning with 3GPP-LTE in indoor environments
Particle filter based positioning with 3GPP-LTE in indoor environments
复制标题
DOI：
10.1109/plans.2012.6236895
复制
发表时间：
2012-04
期刊：
影响因子：
--
通讯作者：
C. Gentner;Estefania Munoz;M. Khider;E. Staudinger;S. Sand;A. Dammann
中科院分区：
文献类型：
--
作者：
C. Gentner;Estefania Munoz;M. Khider;E. Staudinger;S. Sand;A. Dammann
全球导航卫星系统(GNSS)可以在最佳条件下提供非常好的位置估计。然而，特别是在建筑物对卫星进行严重多径传播和阻挡的城市和室内场景中，精度损失可能非常大。通常，在这些情况下，在全球导航卫星系统工作是不可能的。另一方面，蜂窝无线通信系统，如第三代合作伙伴计划(3GPP)长期演进(LTE)，在城市和大多数室内环境中提供出色的覆盖。因此，本文研究了基于定时的定位算法，在这种情况下，使用3GPP-LTE的测量结果进行了到达时间差(TDOA)的定位。存在几种方法和算法来求解蜂窝系统的导航方程，例如，诸如卡尔曼或粒子滤波的贝叶斯滤波方法。本文针对3GPP-LTE时差定位问题，专门研究并开发了一种粒子滤波算法。为了获得更好的定位结果，推导了3GPP-LTE时差误差模型。该误差模型随后被包括在粒子过滤器的似然函数中。最后，在室内场景下，对所提出的粒子滤波算法的定位性能进行了评估。这些评估清楚地表明了使用3GPP-LTE测量进行室内定位的可能性。
Global navigation satellite systems (GNSSs) can deliver very good position estimates under optimum conditions. However, especially in urban and indoor scenarios with severe multipath propagation and blocking of satellites by buildings the accuracy loss can be very large. Often, a position with GNSS is impossible in these scenarios. On the other hand, cellular wireless communication systems such as the third generation partnership project (3GPP) long-term evolution (LTE) provide excellent coverage in urban and most indoor environments. Thus, this paper researches timing based positioning algorithms, in this case time difference of arrival (TDoA), using 3GPP-LTE measurements. Several approaches and algorithms exist to solve the navigation equation for cellular systems, for instance Bayes filtering methods such as Kalman or particle filter. This paper specifically considers and develops a particle filter for 3GPP-LTE TDoA positioning. To obtain better positioning results, a 3GPP-LTE TDoA error model is derived. This error model is afterwards included in the likelihood function of the particle filter. The last part of this paper, evaluates the positioning performances of the developed particle filter in an indoor scenario. These evaluations show clearly the possibility of using 3GPP-LTE measurements for indoor positioning.