Abstract
We propose a new filtering algorithm for joint tracking of multiple target states and the channel state between each pair of antennas in a radar network. The problem of tracking multiple targets in complex scenarios, such as an urban environment, poses a computational challenge as standard particle filtering (SPF) requires large number of particles to obtain an accurate estimate of the high-dimensional state vector. In this paper, we develop a hybrid filter based on the combination of multiple particle filtering (MPF) and Rao-Blackwellized particle filtering (RBPF) by exploiting the structure in the state-space model. Numerical simulations show that the proposed multiple Rao-Blackwellized particle filtering (MRBPF) performs better than the SPF and the RBPF.
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.
