scholarly journals Dataset of the intermediate competition in challenge MALIN: Indoor–outdoor inertial navigation system data for pedestrian and vehicle with high accuracy references in a context of firefighter scenario

Data in Brief ◽  
2021 ◽  
Vol 34 ◽  
pp. 106626
Author(s):  
Ni Zhu ◽  
Miguel Ortiz ◽  
Valérie Renaudin ◽  
Cécile Ichard ◽  
Sander Ricou
Keyword(s):  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
High Accuracy ◽  
System Data

A Time Delay Compensation Algorithm for Transfer Alignment of Strap-Down Inertial Navigation System

2014 ◽  
Vol 909 ◽  
pp. 288-292 ◽  
Author(s):  
Run Wu Zhong ◽  
Shuai Chen ◽  
Yu Kun Wang
Keyword(s):  
Time Delay ◽  
Navigation System ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Delay Compensation ◽  
Transfer Alignment ◽  
Compensation Algorithm ◽  
System Data ◽  
Time Delay Compensation ◽  
The Moment

When SINS (slave strapdown inertial navigation system) got the MINS (Master Inertial Navigation System) data, the time reference was unified to the moment corresponding to the MINS data, and the data was processed by K'alman filter,which effects convergence speed and precision of airborne navigation system.In order to improve the precision of transfer alignment for airborne navigation system ,a compensation algorithm for information transmission time delay[1] is proposed to estimate the delay time and use relevant data to compensate the errors caused by time delay.A method using velocity and measurement misalignment angle information for processing the time delay was derived.A simulation system was made to validate the calculation.And the simulation results show the feasibility and effectiveness of this compensation algorithm.

scholarly journals A Fast and High-Accuracy Compass Alignment Method to SINS with Azimuth Axis Rotation

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Xixiang Liu ◽  
Xiaosu Xu ◽  
Yiting Liu ◽  
Lihui Wang
Keyword(s):  
Navigation System ◽  
Calculation Method ◽  
Inertial Navigation System ◽  
Inertial Navigation ◽  
Low Frequency ◽  
High Accuracy ◽  
Alignment Accuracy ◽  
Alignment Method ◽  
Axis Rotation ◽  
Sensor Errors

Azimuth axis rotating modulation was introduced to improve the alignment accuracy of strapdown inertial navigation system (SINS) through compass algorithm, in which the limit accuracy was determined by equivalent sensor errors in the eastern and northern direction. In this modulation, horizontal sensor errors were modulated into zero mean periodic variables. Furthermore, two methods were introduced to ensure alignment accuracy and speed: (1) shortened rotating cycle and redesigned compass parameters were selected to eliminate or ease the amplification to low-frequency senor error inputs in compass loop caused by rotation and (2) a data repeated calculation method was designed to shorten prolonged alignment time caused by the above redesigned parameters. Based on a certain SINS, turntable test proves that alignment accuracy and time were significantly improved and slightly shortened in comparison with the classical compass alignment.

The Restrain Theory of Gyro Constant Error with Rotation Modulation

2012 ◽  
Vol 566 ◽  
pp. 313-316
Author(s):  
Yue Yang Ben ◽  
Xiao Long Yang ◽  
Xiao Wu ◽  
Qian Li
Keyword(s):  
Navigation System ◽  
Error Propagation ◽  
Inertial Navigation System ◽  
Constant Error ◽  
Global Analysis ◽  
Inertial Navigation ◽  
High Accuracy ◽  
Error Equation ◽  
Partial Analysis ◽  
Navigation Error

With the rotation modulation, a strapdown inertial navigation system (INS) can keep high accuracy navigation without high accuracy gyro and high accuracy accelerometer. Firstly we give the error equation of strapdown INS, and then deduct the navigation error propagation of system. From partial analysis way, the modulation process of gyro constant error is obtained. Form global analysis way, the navigation error roused by constant error and the modulation effects are deducted here.

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