Research On Synergetic Control Algorithm Of Scheduling And TAS For Phased Array Radar

The beam agility capability of phased array radar makes it search and track targets simultaneously. Therefore, an effective resource scheduling policy is required that allocates the resource of radar in real time to optimize the overall performance of radar. Scheduling module is the core module of phased array radar, which decides the ability to deal with multiple targets and the utilization efficiency of radar resource, and therefore its design quality has a great influence on the performance of the radar. Traditional scheduling module design only involves the design of scheduling algorithms and ignores other modules, thus largely reducing resource utilization of the radar. In this paper, the search module, scheduling module and tracking module are designed synthetically and an integrative resource allocation method is proposed. Then, it is simulated and analyzed with the well designed scene database and the actual experimental data.In this paper, the phased array radar search algorithm, scheduling algorithm and tracking algorithm are researched firstly. In research on search algorithm, the dynamic search algorithm for surveillance space is compared with traditional search algorithm with simulation analysis. In study on scheduling algorithm, the traditional adaptive scheduling algorithm is introduced, and thus a new scheduling policy is presented. In research on tracking algorithm, the debiased converted measurement Kalman filter with the framework of interacting multiple mode algorithm is simulated and then a new adaptive tracking data rate algorithm is proposed and compared with the equivalent fixed data rate algorithm. Then, a phased array radar scheduling and Tracking And Searching(TAS) synergetic control algorithm is presented on the basis of the above study for integratedly scheduling and managing radar resource, and some centralized simulation and analysis of the resource management algorithm are shown. Finally, the practical measured data is used to verify and analyze the algorithm. The synergetic control and management of the modules is realized by exchanging information between the search module, scheduling module and tracking module, and ultimately, the phased array radar integrated real-time scheduling is achieved which effectively improves the overall performance of the radar.