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Joint location and parameter tracking of mobile nodes in wireless networks

机译:无线网络中移动节点的联合位置和参数跟踪

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Achieving very high localization accuracy in wireless networks that measure time of arrival (TOA) is a challenging task, especially when low cost hardware is used. The local oscillators used in the wireless nodes will drift over time, which will result in frequency and time offset between different clocks. Synchronization between the clocks must be maintained to obtain highly accurate TOA measurements. The delay in the radio frequency electronics can also vary with time and environmental variation and for accurate localization this variation must be accounted for as well. Although calibrating these parameters prior to the operation of the network is one solution, it is not an option for networks that operate for longer periods of time or those that are rapidly deployed. In this paper we propose an algorithm that jointly tracks the frequency offset and radio delay of all the nodes in the network along with the location of the mobile nodes. The algorithm calculates the round trip delay measurements, which eliminates the need to estimate the time offset. We also derive the posterior Cramèr Rao lower bound (PCRLB) for the joint estimation problem, which provides a bound on the maximum performance achievable. Through simulations we show that the performance of the proposed algorithm is in close agreement with the PCRLB for both the non-kinematic and kinematic state estimation.
机译:在测量到达时间(TOA)的无线网络中实现非常高的定位精度是一项艰巨的任务,尤其是在使用低成本硬件的情况下。无线节点中使用的本地振荡器将随时间漂移,这将导致不同时钟之间的频率和时间偏移。必须保持时钟之间的同步以获得高精度的TOA测量。射频电子设备中的延迟也会随时间和环境变化而变化,并且为了精确定位,还必须考虑这种变化。尽管在网络运行之前校准这些参数是一种解决方案,但是对于运行较长时间或快速部署的网络来说,这不是一个选择。在本文中,我们提出了一种算法,该算法可共同跟踪网络中所有节点的频率偏移和无线电延迟以及移动节点的位置。该算法计算往返延迟测量值,从而无需估计时间偏移。我们还导出了联合估计问题的后CramèrRao下界(PCRLB),这为可实现的最大性能提供了界限。通过仿真,我们证明了该算法在非运动学和运动学状态估计方面的性能与PCRLB非常吻合。

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