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On Nonlinear Road-Constrained Target Tracking in GSM Networks

机译:在GSM网络中的非线性道路约束目标跟踪

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The Global System for Mobile Communications (GSM) networks can provide position information. However, a GSM positioning system based on current specifications faces many difficulties when trying to obtain accurate position estimates. For ground target tracking, the additional information of road constraint can improve the estimation accuracy when it is properly incorporated into the estimation process. In this paper, we examine the performance of ground target tracking in GSM networks in the presence of nonlinear road constraint using a pseudomeasurement approach. The simulation results verify that an extended Kalman filter (EKF) with the constraint as pseudomeasurement significantly improves the estimation accuracy. And a simulation study of the performance on different numbers of measurements demonstrates the efficiency and robustness of the pseudomeasurement approach. Moreover, the comparisons show that the pseudomeasurement approach is superior over a projection approach to incorporate such a constraint.
机译:全球移动通信系统(GSM)网络可以提供位置信息。然而,基于当前规格的GSM定位系统在试图获得准确的位置估计时面临许多困难。对于地面目标跟踪,道路约束的附加信息可以在适当地结合到估计过程中时提高估计准确性。在本文中,我们在使用假瘤方法存在非线性道路约束时,研究了GSM网络中地面目标跟踪的性能。仿真结果验证了与假料的约束的扩展卡尔曼滤波器(EKF)显着提高了估计精度。并且对不同数量测量的性能的仿真研究表明了伪烹调方法的效率和鲁棒性。此外,比较表明,伪烹调方法优于包含这种约束的投影方法。

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