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Research on High Sampling Rate and High Accuracy Projectile-Borne Storage Testing

  • Miusi Wu
  • , Zhenhai Zhang*
  • , Fei Teng
  • , Wenyi Zhang
  • , Shihao Liu
  • , Kejie Li
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper conducts research on storage testing and strapdown inertial navigation techniques base on MEMS IMU. A multi-channel, high-sampling-rate, micro-miniature and high-capacity storage testing device is designed to cope with the high-frequency and high-precision testing for MEMS IMU. An optimized data computing method is proposed for the strapdown inertial navigation base on the collected sensor data. When transplanting the algorithm, DSP functions are called to make full use of hardware resources and obtain higher data update frequency. A sine wave signal is generated to analyze the gain accuracy of the device and ideal IMU data with Gaussian white noise is fed to the device to quantitatively analyze the computational error of it. Experimental results show that the sampling frequency is around 1MHz, the relative error of gain is 1% or less, and the errors of algorithm are far less than the instrumental errors. While guaranteeing this performance, the device can perform long sampling periods of more than one hour and store 32GB of data. The performance of the system meets the expected design specifications for projectile-borne testing.

源语言英语
主期刊名Proceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
出版商Institute of Electrical and Electronics Engineers Inc.
463-468
页数6
ISBN(电子版)9798350327182
DOI
出版状态已出版 - 2023
活动2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023 - Datong, 中国
期限: 17 7月 202320 7月 2023

丛书

姓名Proceedings of the 2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023

会议

会议2023 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2023
国家/地区中国
Datong
时期17/07/2320/07/23

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