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The Usage of wireless Intelligent control and UAVenabled B5G/6G network in fuzzy adaptive Kalman filter in INS/GNS integrated navigation system
  • xuguang xu,
  • liang yu
xuguang xu
Yingkou Institute of Technology
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liang yu
Yingkou Institute of Technology

Corresponding Author:[email protected]

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Abstract

In the Inertial Navigation System/Geomagnetic Navigation System (INS/GNS) integrated navigation system, divergence and measurement noise that change with environments frequently occur must be reduced in order to increase the accuracy and stability of autonomous, passive navigation.Base on the Unscented Kalman Filter,we can combine Convergence of intelligent sensing as well as computing, and control for UAV-enabled B5G/6G network to deal with change in the variance and mean value of the latest information. First,the noise’s covariance in the model is modified “online” to change the  estimation of mean square deviation error and filtering gain of Kalman filtering by using 5G/6G network; Then, through UAV-enabled B5G/6G network and  intelligent sensing to change the scaling factor of weight in sigma sampling is  adaptively changed to solve the nonlocal effect in UT transform and improve the effciency and accuracy of the navigation deposition system. The simulation results show that the fuzzy adaptive Kalman filter is very efficient for INS/GNS integrated navigation systems.It overcome the shortcomings of traditional filtering method and improve the accuracy of filtering.