An Optimal Algorithm of Time Resource for Multi-Target Tracking under Active Oppressive Jamming

Phased-Array Radar (PAR) beam pointing is flexible, enabling rapid scanning without inertia, showing obvious advantages in dealing with complex electromagnetic environments and multitasking. In this paper, the multi-target tracking time resource optimal allocation of PAR under active oppressive jamming is studied. The Bayesian Cramer-Rao Lower Bound (BCRLB) of target location estimation is used as the allocation criterion, and a resource allocation algorithm is proposed. This algorithm can track more targets and improve tracking performance at the same time. Numerical simulations lastly validate the effectiveness of the proposed algorithm.

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