Research On Beam And Path Resource Management Algorithm Of Phased Array Radar On Airborne Platform

Phased array radar is widely used because it can transmit multiple beams at the same time and the beam has strong agility.Airborne platforms(e.g.,aircraft,airships and hot air balloons)are gaining increasing attention due to their reliable tracking,navigation and rapid mobility.In actual combat,the airborne platform phased array radar system needs to use different resources for different tasks to deal with battlefield situation changes.How to optimize the path of the airborne platform,the beam power of the phased array radar and the joint optimization of system resources to improve the detection performance of the system is a hot and difficult point in international research.Focusing on the problem of phased array radar resource management on airborne platform,theoretical analysis,method research and simulation experiments of the distributed airborne platform path planning and phased array radar power management are carried out in the tracking mode.The main contents are as follows:1.Aiming at the problem of resource management of phased array radar system on airborne platform,the basic concepts and connotations of phased array radar resource management for airborne platform are discussed,and the mathematical model of phased array radar resource management for airborne platform under different combat missions is established.The optimization framework of resources is designed,and the filtering algorithm and fusion algorithm are analyzed.2.For the beam power allocation of phased array radar under target tracking,a closed-loop framework of resource management system is presented.The beam power allocation method of phased array radar in target tracking mode is studied,and the effectiveness of the optimization criterion is verified.The beam power distribution of phased array radar under multi-target tracking is realized.3.Aiming at the problem of coordinated tracking path optimization of phased array radar on distributed airborne platform,the analytical cost function based on Fisher information matrix is derived.An efficient path optimization algorithm for solving nonlinear constraints and avoiding obstacles is proposed.The platform is used to track the target in real time with a smooth path.In addition,compared with the traversal search method,the proposed algorithm has obvious advantages in computational complexity while ensure the target tracking performance.4.Focusing on the problem of joint path scheduling and power allocation in multi-target tracking,the Cramér–Rao bound including path and power is derived.A multi-dimensional path and power joint optimization mathematical model with nonlinear constraints is established.A two-step decomposition algorithm for determining the path power and then optimizing the beam power is proposed.Compared with the strategy of path scheduling with uniform power,the optimal airborne platform path planning and optimal power allocation are achieved.The above models and methods have been verified by analysis and simulation.The simulation results verify that the proposed method can realize the resource management of phased array radar on airborne platform under certain conditions.