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Designing Dual-Tone Radio Interferometric Positioning Systems

机译:设计双音无线电干涉定位系统

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摘要

For many wireless sensor networks, high accuracy and low complexity localization techniques are crucial to their successful deployment. The radio interferometric positioning system (RIPS) has been introduced for accurate localization with low complexity. In this paper, a dual-tone radio interferometric positioning system (DRIPS) is proposed to localize multiple targets simultaneously. In DRIPS, multiple asynchronous targets emit dual-tone signals, and synchronous anchor receivers (nodes with known positions) extract phase information of low-frequency differential tones created by squaring the received dual-tone signals. Multiple time-of-arrivals (TOAs) coupled with unknown offsets due to the asynchronous targets are estimated based on the phase information. Accordingly, a localization algorithm taking the integer ambiguity issue into account is developed. Moreover, considering the case without accurate knowledge of the frequencies of the differential tones, an ESPRIT-type algorithm is proposed to estimate the frequencies. The proposed DRIPS is robust to flat-fading channels, immune to uncertainties of local oscillators, and able to distinguish different targets. In order to show more insights of the performance limit of the DRIPS, Cramér-Rao bounds (CRBs) are derived. Simulation results illustrate the merits of the proposed DRIPS.
机译:对于许多无线传感器网络而言,高精度和低复杂度的定位技术对于其成功部署至关重要。引入了无线电干涉定位系统(RIPS),以实现低复杂度的精确定位。本文提出了一种双音无线电干涉定位系统(DRIPS)来同时定位多个目标。在DRIPS中,多个异步目标发出双音信号,并且同步锚接收器(具有已知位置的节点)提取通过对接收到的双音信号进行平方处理而产生的低频差分音的相位信息。基于相位信息,估算与异步目标相关的未知偏移与多个到达时间(TOA)。因此,开发了一种考虑整数模糊度问题的定位算法。此外,考虑到没有准确了解差分音调频率的情况,提出了一种ESPRIT型算法来估计频率。提出的DRIPS对平坦衰落的信道具有鲁棒性,不受本地振荡器不确定性的影响,并能够区分不同的目标。为了显示关于DRIPS性能极限的更多见解,推导了Cramér-Rao界限(CRB)。仿真结果说明了所提出的DRIPS的优点。

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