一种新的基于虚同步周期非对称测距网的TOA定位同步系统
A New TOA Localization and Synchronization System with Virtually Synchronized Periodic Asymmetric Ranging Network
摘要：
在这篇文章中，我们设计了一个新的到达时间（TOA）系统的同时用户设备（UD）定位和同步的周期性非对称测距网络，即PARN。PARN包括一个发送和接收信号的主锚节点（PAN）和许多仅接收信号的次AN（SAN）。所有的UD都可以发送和接收信号。PAN周期性地发送同步信号，UD在接收到同步信号之后发送响应信号。使用TOA测量在SAN的周期性同步信号，我们开发了一种卡尔曼滤波方法，以虚拟同步AN的时钟参数的高精度估计。采用虚拟同步，和TOA测量的响应信号和同步信号，然后我们开发了一个最大似然（ML）的方法，即ML-LAS，同时定位和同步移动UD。我们分析了UD定位和同步误差，并推导出Cramer-Rao下界（CRLB）。与现有的基于非对称测距网络的TOA系统不同，新的PARN i）使用SAN处的周期性同步信号来利用时间相关的时钟信息进行高精度虚拟同步，以及ii）使用各种TOA测量来补偿UD移动和时钟漂移，以实现一致且同时的定位和同步性能。仿真结果验证了理论分析的正确性，证明了该系统具有较高的AN钟差估计精度和对运动UD的同步定位精度。我们实现了一个原型硬件系统，并通过实验证明了PARN在实际应用中的可行性和优越性。
英文摘要：
In this article, we design a new time-of-arrival (TOA) system for simultaneous user device (UD) localization and synchronization with a periodic asymmetric ranging network, namely PARN. The PARN includes one primary anchor node (PAN) transmitting and receiving signals, and many secondary ANs (SAN) only receiving signals. All the UDs can transmit and receive signals. The PAN periodically transmits sync signal and the UD transmits response signal after reception of the sync signal. Using TOA measurements from the periodic sync signal at SANs, we develop a Kalman filtering method to virtually synchronize ANs with high accuracy estimation of clock parameters. Employing the virtual synchronization, and TOA measurements from the response signal and sync signal, we then develop a maximum likelihood (ML) approach, namely ML-LAS, to simultaneously localize and synchronize a moving UD. We analyze the UD localization and synchronization error, and derive the Cramer-Rao lower bound (CRLB). Different from existing asymmetric ranging network-based TOA systems, the new PARN i) uses the periodic sync signals at the SAN to exploit the temporal correlated clock information for high accuracy virtual synchronization, and ii) compensates the UD movement and clock drift using various TOA measurements to achieve consistent and simultaneous localization and synchronization performance. Numerical results verify the theoretical analysis that the new system has high accuracy in AN clock offset estimation and simultaneous localization and synchronization for a moving UD. We implement a prototype hardware system and demonstrate the feasibility and superiority of the PARN in real-world applications by experiments.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
