Multipurpose Helicopter Phased-array Radar Adaptive Resource Management Research

The armed helicopter radar system serves for the armed helicopters as its eyes. The militarily needs require that the radar system should execute several tasks simultaneously, such as searching, tracking, fire control, communication and so on. The multi-function of radar system is realized by multi-beam transmitting. The phased array radar system can transmit several beams in different direction so that it can achieve high adaptation to the environment. In order to make full use of the resource of phased array radar system, it is necessary to find out an optimal set of radar parameters to achieve effective radar resource management. This paper focus on the radar task planning, relative priority and dwell scheduling algorithms.1、The time-division theory and multi-beams working theory of phased array are deeply introduced based on the characteristics of the helicopter radar system. Furthermore, the Top-Down structure of the radar resource management is proposed. It refers to each level of radar resource management. The functions and components of each subsystem are designed. Then, the performance indicators of the scheduling algorithms are proposed based on the basic functional needs of phased array radars.2、The task planning algorithm is researched on a task-level. The wave arrangement method of different working mode is proposed for searching task planning. Considering that the covariance in the filtering process can reflect the characteristics of the tracking accuracy, a covariance-based tracking task planning algorithm with dynamic changing the sampling interval is proposed for tracking tasks.3、The algorithm for radar task prioritization based on the fuzzy clustering algorithm is researched. First we briefly introduces the radar operation mode relative priority and we summed up the internal and external factors impact on radar task priority based on characteristics of helicopter radar. Task threat degree hierarchy structure model is established, and then radar task threat assessment is proposed based on the analytic hierarchy. The threat degree through the algorithm is decided by multi-level factor analysis. The dynamic prioritization algorithm is put forward based on the fuzzy clustering algorithm. Considering the influence of each characteristic factor, through the threat degree of different clustering ensemble mean for radar task priority level calibration, the algorithm compared with traditional algorithm has better adaptability on radar external environment.4、Beam dwell scheduling algorithms aim to find the optimal task execution sequence to achieve the goal of maximal use of system resources. Therefore, the scheduling algorithm is a vital part of radar resource management. The existing adaptive scheduling algorithms are based on a simple mathematical model, without considering the complete radar resource constraints and ignoring the energy resource constraints of two-dimensional phased array radar system. To solve these problems, two algorithms are proposed:scheduling algorithm based on scheduling gin and time pointer-based scheduling algorithm. The scheduling algorithm based on scheduling gains establish the most optimal mathematical model considering characteristics of the two-dimensional phased array radar antenna systems, and obtain suboptimal solutions by some heuristic rules. The second algorithm introduces time pointers to solve the multi-beam pulse interleaving problem. Compared with the existing algorithms, both of the two algorithms have better simulation results. They can achieve more radar resource utilization as well as reducing the loss rate of a different radar tasks.5、The design requirements of resource management system are analyzed. The structure of radar resource management combined simulation platform is designed, and the sub system carried out a detailed analyzed and designed. At the same time, the simulation system platform is realized with MALTAB GUI integrated development environment. The inside and outside data of helicopter radar environment is introduced to test the platform, the results of which verify the effectiveness of the simulation platform. The simulation platform can also provide intuitively performance evaluation of global radar resource management.