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首页> 外文期刊>Wireless Communications, IEEE Transactions on >A Subspace-Based Two-Way Ranging System Using a Chirp Spread Spectrum Modem, Robust to Frequency Offset
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A Subspace-Based Two-Way Ranging System Using a Chirp Spread Spectrum Modem, Robust to Frequency Offset

机译：一个基于子空间的双向测距系统，使用线性调频扩展的线性调频扩频调制解调器

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摘要

Herein, we propose and implement a subspace-based two-way ranging system for high resolution indoor ranging that is robust to frequency offset. Due to the frequency offset between wireless nodes, issues about sampling frequency offset (SFO) and carrier frequency offset (CFO) arise in range estimation. Although the problem of SFO is resolved by adopting the symmetric double-sided two-way ranging (SDS-TWR) protocol, the CFO of the received signals impacts the time-of-arrival (TOA) estimation, obtained by conventional subspace-based algorithms such as ESPRIT and MUSIC. Nevertheless, the CFO issue has not been considered with subspace-based TOA estimation algorithms.Our proposed subspace-based algorithm, developed for the robust TOA estimation to CFO, is based on the chirp spread spectrum (CSS) signals. Our subspace-based ranging system is implemented in FPGA with CSS modem using a hardware/software co-design methodology. Simulations and experimental results show that the proposed method can achieve robust ranging between the CSS nodes in an indoor environment with frequency offset.
机译：在这里，我们提出并实现了一种基于子空间的双向测距系统，用于高分辨率室内测距，该系统对频率偏移具有鲁棒性。由于无线节点之间的频率偏移，在范围估计中会出现有关采样频率偏移（SFO）和载波频率偏移（CFO）的问题。尽管通过采用对称的双向双向测距（SDS-TWR）协议解决了SFO问题，但是接收信号的CFO会影响通过常规基于子空间的算法获得的到达时间（TOA）估计例如ESPRIT和MUSIC。尽管如此，基于子空间的TOA估计算法并未考虑CFO问题。我们提出的基于子空间的算法是为线性调频（CFO）进行可靠的TOA估计而开发的，它基于线性调频扩频（CSS）信号。我们的基于子空间的测距系统使用硬件/软件协同设计方法在带有CSS调制解调器的FPGA中实现。仿真和实验结果表明，该方法可以在具有频率偏移的室内环境中实现CSS节点之间的稳健测距。

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