scholarly journals Compensation Technique of Measurement Time Delay in Transfer Alignment Using the Double Moving Window Buffer

Author(s):  
Cheon-Joong Kim ◽  
Joon Lyou
2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yunpeng Fan ◽  
Wei Zhang ◽  
Yingwei Zhang

A new adaptive kernel principal component analysis (KPCA) algorithm for monitoring nonlinear time-delay process is proposed. The main contribution of the proposed algorithm is to combine adaptive KPCA with moving window principal component analysis (MWPCA) algorithm, and exponentially weighted principal component analysis (EWPCA) algorithm respectively. The new algorithm prejudges the new available sample with MKPCA method to decide whether the model is updated. Then update the KPCA model using EWKPCA method. And also extend MPCA and EWPCA from linear data space to nonlinear data space effectively. Monitoring experiment is performed using the proposed algorithm. The simulation results show that the proposed method is effective.


2014 ◽  
Vol 909 ◽  
pp. 288-292 ◽  
Author(s):  
Run Wu Zhong ◽  
Shuai Chen ◽  
Yu Kun Wang

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.


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