Inertial Navigation and Initial Alignment Technology

Li, Xuefeng; Li, Chaobing

doi:10.1007/978-981-10-6334-3_4

Cited by 2 publications

(2 citation statements)

References 1 publication

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“…However, when it comes to AGV positioning and navigation, relying solely on UWB for range-based positioning falls short of meeting the control requirements, particularly in non-line-of-sight (NLOS) conditions where UWB positioning accuracy significantly deteriorates [5] . Such fluctuations are unacceptable for AGV control, prompting many scholars to employ data fusion methods to enhance positioning accuracy [6] .…”

Section: Introductionmentioning

confidence: 99%

Research on four-sided differential localization algorithm for automated guided vehicles based on ultra-wideband

Sha,

Zhang

2024

J. Phys.: Conf. Ser.

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To meet the high-precision positioning and navigation requirements of automated guided vehicles (AGV) in environments such as factories and workshops, this study utilizes ultra-wideband (UWB) positioning technology and designs a multi-tag differential localization algorithm to enhance the positioning accuracy of AGV. Starting from the current research status of AGV positioning and navigation, the paper provides a detailed introduction to the concept, process, and practical applications of the UWB differential localization algorithm. The maximum static positioning accuracy for UWB is 64 mm, and the maximum dynamic positioning accuracy is 222 mm, thereby meeting the requirements for AGV positioning and navigation.

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Section: Introductionmentioning

confidence: 99%

Research on four-sided differential localization algorithm for automated guided vehicles based on ultra-wideband

Sha,

Zhang

2024

J. Phys.: Conf. Ser.

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“…For some high sound pressure and broadband application scenarios, such as rocket engine noise testing and high-pressure exhaust pipe testing, fiber optic acoustic sensors are prone to exceeding the upper limit of the dynamic range. High sensitivity fiber optic rings are also prone to coupling noise 7 .…”

Section: Introductionmentioning

confidence: 99%

Research on demodulation parameter optimization of fiber optic acoustic sensor for broadband large signals

Zhao,

Yang,

Zhao

et al. 2023

AOPC 2023: Optic Fiber Gyro

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The demodulation parameter optimization of fiber optic acoustic sensor for broadband large signals is studied in this paper. Firstly, the performance of fiber optic acoustic sensors in demodulating broadband large signals is introduced. The low-frequency energy of the demodulation result is significantly increased and completely submerge the effective signal. By deducing and analyzing the demodulation algorithm of fiber optic acoustic sensors, the reason why it is impossible to demodulate broadband large signals is theoretically explained. An arctangent demodulation algorithm is realized in MATLAB. White noise signals with limited frequency bands are used as simulation signal sources for demodulation testing. Through simulation analysis, the main criteria for determining the upper limit of the system's dynamic range under a certain set of demodulation parameters are provided. Finally, the arctangent demodulation algorithm is implemented in FPGA. Detection experiments on the noise signal of a certain equipment are carried out using the fiber optic microphone system developed by our institute. The experimental results prove that the dynamic range analysis of the demodulation algorithm in this paper is accurate. The fiber optic microphone system designed through parameter optimization can correctly demodulate broadband large signals.

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Inertial Navigation and Initial Alignment Technology

Cited by 2 publications

References 1 publication

Research on four-sided differential localization algorithm for automated guided vehicles based on ultra-wideband

Research on four-sided differential localization algorithm for automated guided vehicles based on ultra-wideband

Research on demodulation parameter optimization of fiber optic acoustic sensor for broadband large signals

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