Multiple Mode Multi-Target Tracking in High Noise Environment Using Radar Measurements

This paper deals with a radar track before detect application in a multi target setting. We propose to use the multiple-mode multiple targets track before detect (MM-MT-TBD) algorithm based on estimating the posterior probability density of the target states under different modes in order to consider all possible target existence combination at each time step. We implement the multi-mode multi-target track before detect (MM MT-PF-TBD) recursively using particle filtering to also incorporate nonlinear tracking models for moving targets. The performance of this algorithm is demonstrated using a simulated two moving targets according a coordinate turn model as an example for radar measurements.