Abstract
In the paper an Adaptive Filter with PEriodic Gain (AFPEG) is presented, which is applicable to Discrete-time Linear Periodic Systems (DLPS) and nonlinear systems with a periodic nominal trajectory. Its convergence properties subject to the DLPS are proved. Compared to conventional adaptive filtering algorithms, the AFPEG reduces on-line computation with limited storage requirements. The AFPEG is applied to an autonomous satellite navigation system. Simulation results demonstrate its effectiveness in improving the accuracy of navigation.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
