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Receiver Tracking Using Signals of Opportunity from Asynchronous RF Beacons in GNSS-Denied Environments

机译:在GNSS拒绝的环境中使用来自异步RF信标的机会信号进行接收机跟踪

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摘要

We propose a method for tracking a moving receiver using RF messages broadcasted from opportunistic beacons. The beacons are not required to be synchronized with each other or with the receiver. By measuring the time-of- arrival (TOA) of the RF messages transmitted from the beacons at different locations along the receiver's trajectory, the receiver is able to track its own location, velocity and local oscillator (LO) parameters with respect to each beacon. A major challenge lies in separating the time offset due to the movement of the receiver from the time offset due to local LO drifts. We propose a Kalman filtering framework that is able to track the LO drifts, the receiver location and the receiver velocity simultaneously, using the measured TOAs and the beacons' locations as inputs. Simulation results are presented to show the feasibility of the proposed method. Finally, the proposed method is implemented on a software-defined radio (SDR) testbed. Experiment results demonstrate that our approach can successfully track the receiver trajectories with good accuracy.
机译:我们提出了一种使用机会信标广播的RF消息跟踪移动接收器的方法。信标不需要彼此同步或与接收器同步。通过测量从信标沿着接收器轨迹的不同位置发送的RF消息的到达时间(TOA),接收器能够针对每个信标跟踪其自身的位置,速度和本地振荡器(LO)参数。一个主要的挑战在于将由于接收器的运动引起的时间偏移与由于本地LO漂移引起的时间偏移分开。我们提出了一个卡尔曼滤波框架,该框架可以使用测得的TOA和信标位置作为输入,同时跟踪LO漂移,接收器位置和接收器速度。仿真结果表明了该方法的可行性。最终,该方法在软件定义无线电(SDR)测试平台上实现。实验结果表明,我们的方法可以成功地跟踪接收器的轨迹,并且精度很高。

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