Bayesian Multi-Target Tracking on Spatial Spectrum

In this paper, the multi-target tracking problem of passive monitoring system is studied, the target tracking model on the spatial spectrum is established, and the passive multi-target tracking method is proposed under the framework of Bayesian processing. In this method, the spectral peak corresponding to the spatial spectrum of the target is taken as contact and the Gaussian model is used for parametric characterization. On this basis, the observation and motion model of multi-target parameters can be established, and then the iterative estimation can be carried out by MAP method, and the tracking filtering can be carried out synchronously by Bayesian method. Simulation results show that the method can track multiple targets accurately and continuously under the complex condition of multiple targets overlapping each other.