  The trajectory probability hypothesis density filter (TPHD) is capable of
producing trajectory estimates in first principle without adding labels or
tags. In this paper, we propose a new TPHD filter referred as MM-TPHD for jump
Markov system (JMS) model that the highly dynamic targets movement switches
between multiple models in multi-trajectory tracking. Firstly, we extend the
concept of JMS to the multi-trajectory scenario of maneuvering target and
derive the TPHD recursion for the proposed JMS model. Then, we develop the
linear Gaussian Mixture (LGM) implementation of MM-TPHD recursion and also
consider the L-scan computationally efficient implementations. Finally,
simulation results in maneuvering multi-trajectory tracking demonstrate the
performance of the proposed algorithm.
