208 / 2020-01-01 03:10:00

Simultaneously Track and Detect Using Auxiliary Multiple-Model Particle Filter

Particle filters are widely used in performing tracking tasks under non-Gaussian noise environment or nonlinear dynamic and measurement models, as in the case of track-before-detect (TBD) problems. Compared to other algorithms, particle filter based methods are recursive and computationally efficient. In this paper, we proposed an auxiliary multiple-model filter that can solve TBD problem. The performance of considered algorithm is tested in a single target tracking scenario.