MTT Resource Allocation in Space-Based Netted MIMO Radar Under Main-Lobe Clutter

High mobility of space-based radar (SBR) platforms risks target velocities falling below the minimum detectable velocity (MDV), rendering them undetectable in main-lobe clutter. Aiming at multi-target tracking (MTT) in space-based multiple-input multiple-output (MIMO) radar systems, this paper proposes a joint beam and dwell time allocation (JBTA) strategy. This strategy incorporates the MDV constraint and adopts the Bayesian Cramér-Rao Lower Bound (BCRLB) as the performance metric, where BCRLB is a lower bound for the mean square error (MSE) of target state estimation. To solve the non-convex mixed-integer optimization problem of JBTA, a two-step decomposition approach is designed. Numerical results verify that JBTA effectively improves global MTT performance.