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A New Time-Based Algorithm for Positioning Mobile Terminals in Wireless Networks

机译:一种新的基于时间的无线网络中移动终端定位算法

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摘要

This paper presents a positioning algorithm, named time of arrival to time difference of arrival (TOAD), which computes time-difference-of-arrival (TDOA) measurements from the messages that time-of-arrival (TOA) stations in sight exchange while their positioning processes ate running. This study addresses the accuracy of the TOAD algorithm in two different environments: line-of-sight (LOS) and non-line-of-sight (NLOS). Simulation is used to set up a wireless network. The Gauss-Newton nonlinear least squares algorithm is used to compute the positions in both TOA and TOAD stations. Results indicate that the TOAD algorithm increases the root mean square error (RMSE) of the positioning error in LOS scenarios by 10 to 20% compared with the RMSE achieved by TOA. This drop in accuracy contrasts with the results for the NLOS scenarios. The RMSE of TOAD in such scenarios is at least 10% lower than that achieved by TOA. This result is specially important since this latter scenario is the most common. Consequently, this novel technique therefore improves the scalability and integrity of TOA techniques based on RTT, making it possible for the stations to position themselves without injecting traffic and with QoS figures close and most times better than that achieved by TOA.
机译:本文提出了一种定位算法,称为到达时间到到达时间差(TOAD),该算法根据到达时间(TOA)站在视线交换时的消息计算到达时间差(TDOA)的测量值他们的定位过程吃完了。这项研究解决了TOAD算法在两种不同环境中的准确性:视线(LOS)和非视线(NLOS)。仿真用于建立无线网络。高斯-牛顿非线性最小二乘算法用于计算TOA和TOAD站中的位置。结果表明,与通过TOA实现的RMSE相比,在LOS场景中,TOAD算法将定位误差的均方根误差(RMSE)增加了10%到20%。准确性的下降与NLOS方案的结果形成对比。在这种情况下,TOAD的RMSE至少比TOA降低10%。由于后一种情况是最常见的,因此此结果特别重要。因此,这种新颖的技术因此提高了基于RTT的TOA技术的可扩展性和完整性,从而使站点可以自行定位而不注入流量,并且QoS数值接近并且比TOA更好。

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