Abstract
In the field of passive multi-sensor multi-target tracking, since only angular measurement is available, data association turns into a quite challengeable task. To address this issue, a novel multidimensional/two dimensional (S-D/2-D) method based on multidimensional assignment algorithm is proposed in this paper. By constraint relaxation, S-D assignment algorithm is employed to solve the multi-sensor measurement-to-measurement association problem. The complete position information of targets are obtained using associated measurement group through maximum likelihood estimation. 2-D assignment is proposed to perform measurement-to-track association and the associated measurement can update the track. Large amounts of Monte Carlo simulation results show this method can solve passive multi-sensor multi-target tracking perfectly with low calculation load added and high precision.
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.
