Multi-target tracking using multi-modal sensing withwaveform configuration

We investigated the joint multi-modal operation of the asymmetric character of the fields of view of radar and electro optical (EO) sensors for multi-target tracking applications. We proposed a joint multi-modal sensing mode based on using dynamic agility selection to optimize the tracking performance of multiple maneuvering targets. The proposed method jointly designs waveforms for radar sensing and resolution switching modes for EO sensing, when both sensor measurements experience high false alarm rates. Rao-Blackwellized particle filtering is used to track an unknown number of targets within an adaptive framework that yields the optimized joint sensor configuration. We demonstrated the performance of the proposed adaptive tracking system using numerical simulations.