Abstract
A novel method is proposed for asynchronous measurement fusion using maximum-likelihood (ML) estimator. This method is applied to multiple radar tracking and reconstruction of ballistic trajectories. The performance and robustness of the ML measurement fusion technique are analysed using a generic simulation scenario involving multi-sensor weapon locating in urban environment. Accuracies of firing point and impact point estimation of mortar grenades and artillery rockets are also evaluated taking into account different radars’ characteristics and geometries of the scenario. Immunity to glint noise, limited time of observation, and uncertainty of ballistic coefficient are also investigated. This study shows the effectiveness of the new method, advantages over track fusion approach, and reveals its practical value.
Sign-in/Register to access full text options 
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.
