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首页> 外文会议>2012 3rd IEEE International Conference on Network Infrastructure and Digital Content. >High-resolution range estimation technique using shift invariant TOA estimation algorithm for indoor localization of chirp spread spectrum system
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High-resolution range estimation technique using shift invariant TOA estimation algorithm for indoor localization of chirp spread spectrum system

机译：基于线性不变TOA估计算法的线性调频扩频系统室内定位高分辨率测距技术

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摘要

We proposed a subspace-based two-way ranging system for high resolution indoor ranging that is robust to frequency offset. The problem of sampling frequency offset (SFO) is resolved by adopting SDS-TWR protocol, which is developed against SFO. Although there are many papers about subspace-based TOA estimations, they do not consider the effect of carrier frequency offset (CFO). We consider and resolve the effect of CFO through the proposed algorithm with chirp spread spectrum (CSS) signals. Experimental results are obtained through the prototype ranging system composed of a FPGA development board and a RF kit. Results show that the ranging error of the proposed ranging system averages less than 1 meter in an indoor environment.
机译：我们针对高分辨率室内测距提出了一种基于子空间的双向测距系统，该系统对频率偏移具有鲁棒性。通过采用针对SFO开发的SDS-TWR协议解决了采样频率偏移（SFO）问题。尽管有许多关于基于子空间的TOA估计的论文，但它们并未考虑载波频率偏移（CFO）的影响。我们通过提出的线性调频扩频（CSS）信号算法来考虑并解决CFO的影响。通过由FPGA开发板和RF套件组成的原型测距系统可获得实验结果。结果表明，在室内环境中，所提出的测距系统的测距误差平均小于1米。

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