无人机集群组网高精度测距技术研究
作者:
作者单位:

1.中国石油大学(华东)海洋与空间信息学院 青岛 266580;2.北京遥测技术研究所 北京 100076

作者简介:

尤星语 1999年生,硕士研究生。
闫朝星 1985年生,博士,研究员。
付林罡 1982年生,硕士,研究员。
李世宝 1978年生,硕士,教授。

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中图分类号:

TN929.5;V279

基金项目:


Study on highly precise ranging method in UAV cluster network system
Author:
Affiliation:

1.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China;2.Beijing Research Institute of Telemetry, Beijing 100076, China

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    摘要:

    针对无人机组网系统机间测距精度受限于时域采样周期时延估计的问题,本文提出一种联合正交频分复用(OFDM)前导序列和导频序列进行高精度测距估计的方法,利用最大似然估计和双向测距法将参与计算的序列测距估计结果按比例进行加权平均。同时,仿真分析了联合测距估计方法性能。结果表明:联合估计方法的前导与导频序列差分自相关间隔长度取典型值时测距精度能达到0.1 m以下,可在较低信噪比下实现厘米级测距精度,提升了集群组网测距的稳定性。

    Abstract:

    Aiming at the problem that the accuracy of ranging within UAV cluster networking system is limited by the time delay estimation of sampling period in time domain, this paper proposes a method of high precision ranging estimation by combining OFDM preamble sequence and pilot sequence. The maximum likelihood estimation and two-way ranging method are used to carry out weighted average of the estimated results of the sequence ranging. At the same time, the performance of joint ranging estimation method is analyzed by simulation. The simulation results show that the ranging accuracy of the joint estimation method can reach below 0.1 m when the typical values of the difference autocorrelation interval length of the preamble and pilot sequences are taken, and the centimeter-level ranging accuracy can be achieved at a low signal-to-noise ratio, which improves the stability of the ranging of the UAV cluster network.

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尤星语,闫朝星,付林罡,李世宝.无人机集群组网高精度测距技术研究[J].遥测遥控,2023,44(5):59-63.

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历史
  • 收稿日期:2023-05-04
  • 最后修改日期:2023-06-26
  • 录用日期:
  • 在线发布日期: 2023-09-19
  • 出版日期:
  • 优先出版日期: 2023-09-19