混合动力车辆定位和跟踪使用手机

S. Tao, V. Manolopoulos, S. Rodriguez, M. Ismail, A. Rusu
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引用次数: 10

摘要

由于移动通信技术的广泛应用,通过定位驾驶员的手机对车辆进行定位和跟踪已经成为可能。然而,没有一种单一的定位方法可以在精度和覆盖范围之间提供良好的权衡。为了解决这一问题,我们提出了一种基于卡尔曼滤波的混合方法来跟踪车载移动电话。该方法将辅助全球定位系统(A-GPS)移动电话收集的坐标与观测到的到达时间差(OTDOA)测量计算的位置估计相结合。仿真结果验证了该混合方案在模拟车辆工况下的有效性。
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Hybrid vehicle positioning and tracking using mobile phones
Due to the pervasive deployments of mobile communication technologies, vehicle positioning and tracking by locating the driver's mobile phones has become feasible. However, no single positioning method can provide decent tradeoff between accuracy and coverage. To address this issue, we propose a Kalman filter-based hybrid method which can track the mobile phones traveling on-board vehicles. The proposed method combines coordinates collected by assisted global positioning system (A-GPS) mobile phones and location estimates calculated from observed time difference of arrival (OTDOA) measurements. Numerical results demonstrate the effectiveness of this hybrid scheme in a simulated vehicular scenario.
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