Abstract
In target tracking systems, measurements from the same target can arrive out-of-sequence. Such OOSM arrivals can induce negative-time measurement update problem. In order to solve the l-step-lag OOSM problem with correlated process noise and measurement noise, a new algorithm based on forward prediction is proposed. A modified information filter is adopted so as to eliminate the correlated noise. By defining an equivalent measurement the l-step-lag OOSM problem is transformed into 1-step-lag problem. The new algorithm is independent with the discrete time model of the process noise. The storage requirements and calculations are reduced. The simulation results show its effectiveness.
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 callDisclaimer: 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.
