基于LTE信号的多径跟踪在室内定位中的应用

Zhaoliang Liu, Liang Chen, Xin Zhou, Nan Shen, Ruizhi Chen
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引用次数: 5

摘要

高精度的室内定位在不同的应用场景中发挥着重要的作用。LTE (Long-Term Evolution,长期演进)网络作为一种应用广泛的移动通信信号,在室内和室外环境下都能很好地接收。本文研究了一种利用LTE下行链路中不同参考信号估计载波相位到达时间(TOA)的方法。针对室内定位问题,提出了一种多径跟踪软件定义接收机(SDR)方案。在我们的SDR室内定位系统中,首先通过粗同步解调获得LTE信号的导频信号。然后,在导频信号的辅助下,依次进行时延采集、多径估计延迟锁环(MEDLL)算法和多径异常检测,获取接收信号的导航观测值。此外,为了比较不同导频信号的性能,分别采用二次同步信号(SSS)和小区参考信号(CRS)作为导频信号进行基于载波相位的TOA估计。最后,为了量化我们的多径跟踪SDR的准确性,在会议环境中进行了室内现场测试,其中安装了LTE基站用于商业用途。基于CRS的测试结果表明,在静态测试场景下,1-σ误差区间测得的TOA精度约为0.5 m,而在移动环境下,距离精度在1.0 m以内的概率为95%。
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Multipath tracking with LTE signals for accurate TOA estimation in the application of indoor positioning
ABSTRACT Indoor positioning with high accuracy plays an important role in different application scenarios. As a widely used mobile communication signal, the Long-Term Evolution (LTE) network can be well received in indoor and outdoor environments. This article studies a method of using different reference signals in the LTE downlink for carrier phase time of arrival (TOA) estimation. Specifically, a solution is proposed and a multipath tracking Software Defined Receiver (SDR) is developed for indoor positioning. With our SDR indoor positioning system, the pilot signals of the LTE signals are firstly obtained by the coarse synchronization and demodulation. Then, with the assistance of the pilot signals, the time delay acquisition, the multipath estimating delay lock loop (MEDLL) algorithm, and the multipath anomaly detection are sequentially carried out to obtain navigation observations of received signals. Furthermore, to compare the performance of different pilot signals, the Secondary Synchronous Signals (SSS) and Cell Reference Signals (CRS) are used as pilot signals for carrier phase-based TOA estimation, respectively. Finally, to quantify the accuracy of our multipath tracking SDR, indoor field tests are carried out in a conference environment, where an LTE base station is installed for commercial use. Our test results based on CRS show that, in the static test scenarios, the TOA accuracy measured by the 1-σ error interval is about 0.5 m, while in the mobile environment, the probability of range accuracy within 1.0 m is 95%.
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