基于5G毫米波到达时间差的室内定位算法

Indoor location algorithm of TDOA based on 5G

  • 摘要: 随着第五代移动通信技术(5G)时代的到来,以毫米波通信为代表的技术得到了日益广泛的关注. 5G毫米波信号的带宽大、频率高、时延短,并且信道稀疏,所以能够为基于到达时间(TOA)和基于到达时间差(TDOA)的定位提供更加准确的测量值,有利于实现高精度的室内定位. 研究了三种应用于室内的5G毫米波TDOA定位算法,并结合卡尔曼滤波进行了试验验证分析与比较. 结果表明,基于5G毫米波的室内静态定位精度可达0.2886 m,动态定位的精度可达0.6076 m.

     

    Abstract: With the coming of the 5th-Generation (5G) era, 5G technology represented by millimeter wave communication has been paid more and more attention. 5G millimeter wave signal has larger bandwidth, higher frequency, shorter delay and sparser channel, so it can provide time estimation for time of arrival (TOA) and time difference of arrival (TDOA) positioning more accurately, which is conducive to achieve high-precision indoor positioning. In this paper, three kinds of indoor 5G millimeter wave TDOA positioning algorithms are compared and studied, and the results of indoor static and dynamic positioning results are calculated with Kalman filtering. The results show that the indoor static positioning accuracy based on 5G millimeter wave can reach 0.2886 m, and the dynamic positioning accuracy can reach 0.6076 m.

     

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