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On the Performance of Hybrid GPS/GSM Mobile Terminal Tracking

机译:关于混合GPS / GSM移动终端跟踪的性能

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The Global Positioning System (GPS) has become one of the state-of-the-art location systems that offers reliable mobile terminal (MT) location estimates. However, there exist situations where GPS is not available, e.g., when the MT is used indoors or when the MT is located close to high buildings. In these scenarios, a promising approach is to combine the GPS measured values with measured values from the Global System for Mobile Communication (GSM), which is known as hybrid localization method. In this paper, a hybrid MT tracking algorithm based on a Rao-Blackwellized unscented Kalman filter (RBUKF) is proposed that combines pseudoranges from GPS with timing advance and received signal strengths from GSM. Simulation results show that the proposed hybrid method outperforms the GSM method. Furthermore, the performance of the RBUKF is compared to the extended Kalman filter and the corresponding posterior Cramer-Rao lower bounds.
机译:全球定位系统(GPS)已成为最先进的定位系统之一,可提供可靠的移动终端(MT)位置估计。然而,存在GPS不可用的情况,例如,当MT在室内使用时或者MT位于靠近高层建筑时。在这些场景中,有希望的方法是将GPS测量值与来自全球移动通信系统(GSM)的测量值组合,称为混合定位方法。在本文中,提出了一种基于RAO黑威胁的卡尔曼滤波器(RBUKF)的混合MT跟踪算法,其将来自GPS的伪距与来自GSM的定时提前和接收信号强度相结合。仿真结果表明,所提出的混合方法优于GSM方法。此外,将RBUKF的性能与扩展的卡尔曼滤波器和相应的后克拉姆 - RAO下界进行比较。

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