This invention discloses a distributed
MIMO radar resource allocation method for integrated reconnaissance, interception, and communication, belonging to the technical field of
radar resource allocation. It aims to solve the performance balance problem under multi-task coordination in distributed
MIMO radar air combat scenarios. An integrated reconnaissance, interception, and communication adversarial
scenario is constructed, using the lower bound of position
estimation error (SPEB),
missile detection probability, and inter-node communication capacity as performance evaluation indicators for reconnaissance, interception, and communication, respectively. Then, with the goal of minimizing the total
system transmit power, a model is constructed by combining relevant performance constraints and node task rules. Finally, the model is transformed into a mixed-integer second-order
cone programming problem, and the non-convex terms are convexified using the McCormick
envelope method. A numerical solution is obtained based on the CVX
solver in
MATLAB, achieving joint optimization of node task allocation and power allocation. This invention reduces the total transmit power while satisfying three types of performance requirements, achieving efficient waveform
resource scheduling and improving the practicality and robustness of
radar countermeasures.