The Multiple Model Vo–Vo Filter
Wei Yi, Meng Jiang, Reza Hoseinnezhad · IEEE Transactions on Aerospace and Electronic Systems · 2017
A jump Markov system (JMS) multiple model solution is presented for tracking highly dynamic targets using the Vo-Vo filter (also known as generalized labeled multi-Bernoulli or GLMB filter). The closed-form solution is derived for Gaussian mixture implementation of the multiple-model Vo-Vo filter. The performance of the proposed method is examined and compared with the state of the art in challenging scenarios involving numerous appearing and disappearing targets with randomly time-varying dynamics. The results demonstrate that in such applications, the proposed method can outperform the competing techniques in terms of tracking accuracy, and is highly robust to variations in application and filter parameters such as clutter rate and model transition probabilities in the JMS.