Abstract:

An adaptive scheduling algorithm is the focus of the phased array radar resource management research. A quadratic programming model with the minimizing sum of square of the weighted time offset as the scheduling cost criterion is proposed for phased array radar task scheduling. Then the existence conditions of the optimal solution are proved, and an analytical algorithm is given to solve the optimal solution. Compared with the numerical solution, the analytical solution effectively improves the fastness of the algorithm. A series of simulations based on a real phased array radar for air defense frigates show that the proposed algorithm can improve the scheduling success rate and reduce the task scheduling cost.