Joint Tracking and Classification of Multiple Targets with Scattering Center Model and CBMeMBer Filter

This paper deals with joint tracking and classification (JTC) of multiple targets based onscattering center model (SCM) and wideband radar observations. We first introduce an SCM-basedJTC method, where the SCM is used to generate the predicted high range resolution profile (HRRP)with the information of the target aspect angle, and target classification is implemented through thedata correlation of observed HRRP with predicted HRRPs. To solve the problem of multi-targetJTC in the presence of clutter and detection uncertainty, we then integrate the SCM-based JTCmethod into the CBMeMBer filter framework, and derive a novel SCM-JTC-CBMeMBer filter withBayesian theory. To further tackle the complex integrals' calculation involved in targets state andclass estimation, we finally provide the sequential Monte Carlo (SMC) implementation of theproposed SCM-JTC-CBMeMBer filter. The effectiveness of the presented multi-target JTC methodis validated by simulation results under the application scenario of maritime ship surveillance.