Abstract
This paper deals with joint tracking and classification (JTC) of multiple targets based on scattering center model (SCM) and wideband radar observations. We first introduce an SCM-based JTC 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 the data correlation of observed HRRP with predicted HRRPs. To solve the problem of multi-target JTC in the presence of clutter and detection uncertainty, we then integrate the SCM-based JTC method into the CBMeMBer filter framework, and derive a novel SCM-JTC-CBMeMBer filter with Bayesian theory. To further tackle the complex integrals’ calculation involved in targets state and class estimation, we finally provide the sequential Monte Carlo (SMC) implementation of the proposed SCM-JTC-CBMeMBer filter. The effectiveness of the presented multi-target JTC method is validated by simulation results under the application scenario of maritime ship surveillance.
Highlights
Target tracking and target classification are treated as two independent problems, and they are usually solved separately
In view of the fact that the 3D scattering center model (3D-SCM) [11,12,13] is very convenient to create a classification feature according to the pose and sensor parameters, we proposed a novel
joint tracking and classification (JTC) Method Based on SCM and CBMeMBer Filter
Summary
Target tracking and target classification are treated as two independent problems, and they are usually solved separately. The first category is the most popular one and is dedicated to point targets In this case, the resolution of the tracking sensor is very limited, and realization of target classification has to exploit attribute/identity sensor (such as electronic support measure) information or target dynamics (such as class-dependent maneuverability) [1,2,3,4,5]. The considered target onasthe 2D plane with a nearly constant velocity, and the process of the target statemoves is given velocity, and the evolvement process of the target state is given as xk = Fxk −1 + w k (1) x = Fx +
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