Research On Radar Resource Scheduling Method For Target Tracking Under LPI Constraints

Diversified detection tasks and increasingly complex detection environments pose huge challenges to radar systems.In the case of limited resources and faced with time-varying target tracking tasks,the radar system needs to adapt to the time-varying envi-ronment through reasonable and flexible transmission resource scheduling,thereby max-imizing the utilization efficiency of system resources.At the same time,the presence of enemy interception receivers in the detection environment poses a huge threat to the survival of the radar system.By controlling the transmission resources of the radar sys-tem,the Low probability of interception(LPI)performance of the radar system can be improved,thereby enhancing the system’s covert survivability.In this context,this thesis conducts research on radar resource scheduling methods for target tracking under LPI constraints.By reasonably regulating radar transmission resources,it can meet different tracking tasks while reducing the risk of interception of the radar system detected by the receiver from different angles.probability,thereby im-proving the LPI performance of the radar system.An optimized scheduling algorithm is designed for the limited transmission resources of the radar system.On the basis of completing target tracking tasks in different scenarios,it improves the covert survivabil-ity of the system and effectively enhances its ability to resist the reconnaissance of passive interception receivers.Research on radar resource scheduling methods for target tracking under LPI con-straints focuses on target tracking tasks,starting from LPI performance evaluation,re-source scheduling methods under the condition of incomplete intercepted receiver infor-mation,and joint multi-dimensional resource scheduling methods.The main research contents are as follows:1.For the single target tracking scenario equipped with an interception receiver,a networked radar resource scheduling method under LPI constraints is proposed.First,the global LPI performance indicators of the centralized networking radar system and the dis-tributed transmission and reception radar system were constructed respectively.Then,a transmission resource scheduling algorithm model under LPI constraints was established,and a fast solution method based on convex relaxation was designed.Through site selec-tion and power allocation in the networked radar system,the interception probability of the system was reduced while satisfying the target tracking task.2.For multi-target tracking scenarios in which the orientation information of the interception receiver is known,a transmit antenna array element selection and transmit beam forming method under LPI constraints is proposed.In the centralized MIMO radar system,the transmit power gain in the distribution direction of the interception receiver is derived as the LPI performance index,and a dual-objective optimization problem model that simultaneously minimizes the number of transmitting antenna elements and the LPI performance index is established.By designing a stepwise iterative solution method,the transmitting antenna array element selection and beam forming parameters are obtained,which effectively suppresses the transmit power gain of the intercepted receiver azimuth while meeting the requirements of multi-target tracking.3.A radar beam scheduling method under LPI constraints is proposed for multi-target tracking scenarios where the interception receiver carries unknown information.In order to describe the total radar radiation energy during multi-target tracking,a beam re-source load model is constructed,and a non-convex optimization problem model based on beam pointing and transmit pulse number scheduling is proposed.By designing a solution algorithm based on Lagrangian relaxation iteration,adaptive beam resource allocation pa-rameters are obtained,which reduces the total energy radiated by the radar system and improves resource utilization while completing the multi-target tracking task.4.For the airborne radar multi-target tracking scenario where the information on the interception receiver is unknown,an airborne radar resource scheduling method under LPI constraints is proposed.By introducing the motion model of airborne radar,the control parameters under the platform’s motion state are incorporated into the resource schedul-ing framework.According to different target tracking requirements and LPI performance constraints,the global tracking performance index is established,and a joint path planning and resource scheduling optimization problem model under LPI constraints is proposed.A real-time scheduling solution is obtained through phased parallel optimization solution,which improves the utilization efficiency of airborne radar resources when the intercepted receiver information is unknown.The performance of the above models and methods has been verified through the-oretical derivation and numerical simulation.Through reasonable optimization of radar transmission resources,the system LPI performance has been improved while ensuring its tracking mission.