Abstract
An a posteriori optimal finite impulse response (OFIR) filter is proposed for linear time-varying systems. The OFIR filter is derived in a discrete convolution-based batch form and represented with a computationally efficient iterative algorithm using recursions. A comparison of the OFIR filter, Kalman filter (KF), and unbiased FIR (UFIR) filter performances is provided using an experimental example of object tracking. It is shown that responding to temporary uncertainties the OFIR filter produces shorter transients and a bit smaller excursions than the KF and smaller excursions than the UFIR filter.
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 callMore From: IEEE Transactions on Circuits and Systems II: Express Briefs
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
