LPID-Based Composed Resource Allocation in C-MIMO Radar Network Under Electronic Countermeasure Environments

In this paper, we propose a low probability of identification (LPID)-based composed resource allocation (CRA) scheme for multi-target tracking (MTT) in colocated multiple-input-multiple-output (C-MIMO) radar network under electronic countermeasure environments. Closed-form expressions for the predicted conditional Cramér-Rao lower bound (PC-CRLB) and the radar signal identification probability under suppression jamming are derived. We then employ the sum of PC-CRLB values and the worst-case identification probability as the quantitative metrics for MTT performance and LPID performance, respectively. The LPID-CRA is developed to jointly balance these two metrics by dynamically allocating beam-pairing and power resources within each tracking frame. To address the resulting non-convex non-linear problem, we perform an equivalent transformation of the optimization model and develop an efficient five-stage solution method that incorporates the Zoutendijk methods of feasible directions (ZMFD) and the min-cost flow algorithm. Simulation results demonstrate that the proposed LPID-CRA strategy significantly enhances overall system performance.