Research On Adaptive Scheduling Algorithm For Phased Array Radars

Phased Array Radar, which is also called Electronic Scanning Radar orScanned Array Radar, can quickly scan the antenna beam. Compared with thetraditional radar, the phased array radar has much more working methods byarranging different resource management programs for it to adjust the radar beampointing and beam shape. It also makes the phased array radar has greateradaptability and better performance.Phased array radar resource management issues can be divided into two aspectsaccording to the different management objects, which are macro management andmicro management. The macro management is to manage the radars in the systemmacroscopically by planning the work(searching and tracking) each radar need to doduring period of time in the future. The micro management refers to the traditionalphased array radar mission scheduling, which means under the constraints of thesystem, a single radar provides the order of the mission it need to do in the nextscheduling interval according to some rule, after its control center received varioustask request sequence in the current circle, thus optimizing the dispatch.In this paper, we aim to solve the problem of mission planning of multi-targetstracking using a single or multi-phased array radars. The study can be expressed inthree points:(1). Facing the situation that the radar resource will be limited when there aremany targets in the network, we build the model of tracking mission and,under theconstraints of radar resource and time condition, propose a mission schedulingalgorithm based on maximum tracking number. It takes the maximum trackingnumber and radar resource as the optimization objective, and uses implicitenumeration method to complete the tracking mission planning of multiple radars inthe network.(2). Facing the problem that the implicit enumeration algorithm takes too long,we propose a heuristic fast mission planning algorithm based on rules, the algorithmcan greatly improve the speed of multiple radar mission planning algorithm formulti-target tracking to meet the needs of practical engineering. (3). Facing the situation that radar mission can only be delayed so that it cannotmake use of mission time window, we presents a one step backward algorithm withtime window for radar mission sequence scheduling. In this method, the task priorityis dynamically determined based on the properties of targets by fuzzy logic system.A step backward procedure is used in this method to adjust the launch time of eachconflict task in time window that the higher priority tasks can be scheduled in itsexpected time. Simulation results show that the adaptive scheduling algorithmreduces the cost of scheduling under the premise of maintaining good schedulingrate.