Time synchronization method and system based on waveform matching

A time synchronization and waveform matching technology, applied in the field of sensor applications, can solve problems such as high complexity, high cost, and inapplicability

Active Publication Date: 2014-11-12
WUHAN UNIV
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AI Technical Summary

Problems solved by technology

However, when a new IMU (Inertial Measurement Unit, Inertial Measurement Unit) needs to be tested for integrated navigation, althoug

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  • Time synchronization method and system based on waveform matching
  • Time synchronization method and system based on waveform matching
  • Time synchronization method and system based on waveform matching

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Embodiment Construction

[0072] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0073] The embodiment is described by taking data collected by an inertial sensor. The inertial sensor can collect multi-axis data. This embodiment takes multi-axis data processing as an example.

[0074] Data source in the embodiment: during vehicle test, carry the GPS / INS integrated navigation system of low-accuracy IMU EPSON and containing high-accuracy IMU FSAS simultaneously, wherein in the data that EPSON gathers with counter timing, FSAS passes through and GPS in the integrated navigation system Integrated design, has been marked with accurate GPS time.

[0075] Data format in the embodiment: EPSON sampling rate is 125Hz, and the data contains 7 columns, of which the first column is the time column, and the 2nd to 4th columns are the three columns of angular rates collected by the gyroscope, which are forward, right and vertical respect...

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Abstract

The invention provides a time synchronization method and system based on waveform matching. According to the method and system, based on the correlation principle, accurate time information is synchronized for a set of data not containing time scales or containing wrong time scales by utilizing a set of data containing reference time. The method comprises the steps that firstly, the data to be matched are segmented, correlation solution is performed on all segments and different sub-segments of reference data, when the correlation coefficient is maximum, the time difference between the segment of data and the reference data is calculated, and therefore time difference sequences of all the segments are obtained; secondly, the time difference sequences serve as observed values, time differences and time-scale drift factors serve as parameters to be estimated, and least square adjustment is performed to figure out the parameters to be estimated; finally, accurate time is synchronized for the data to be matched through the time differences and the time-scale drift factors. The time synchronization method and system can be widely applied to time synchronization during multi-sensor data fusion and can be further applied to correctness detection for time synchronization based on other methods.

Description

technical field [0001] The invention relates to the field of sensor applications, in particular to a time synchronization method and system based on waveform matching. Background technique [0002] At present, the research on multi-sensor data fusion technology is in the ascendant, and some mature technologies have been applied to practical projects and achieved good results. The application of multi-sensor data fusion technology can not only improve the accuracy and reliability of the system, but also improve the measurement range of the system, increase the reliability of the system, and shorten the reaction time of the system. However, multi-sensor data fusion is a complex uncertain information processing process. The prerequisite for fusion is that the information obtained from each sensor must be a description of the same target at the same time. This includes two aspects. First, it is necessary to ensure that the information obtained by each sensor is a description of...

Claims

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Application Information

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IPC IPC(8): G04G7/00
Inventor 牛小骥李青丽班亚龙张全龚琳琳
Owner WUHAN UNIV
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