Real-Time Dwell Scheduling Based on a Unified Pulse Interleaving Framework for Phased Array Radar

Dwell scheduling is a key for phased array radar to realize multi-function and it becomes especially challenging in complex tactical situations.In this manuscript,a real-time radar dwell scheduling algorithm based on a unified pulse interleaving framework is proposed.A unified pulse interleaving framework that can realize pulse interleaving analysis for phased array radars with different receiving modes is put forward,which greatly improves the time utilization of the system.Based on above framework,a real-time two-stage approach is proposed to solve the optimization problem of dwell scheduling.The importance and urgency criteria are guaranteed by the first pre-schedule stage,and the desired execution time criterion is improved at the second stage with the modified particle swarm optimization(PSO).Simulation results demonstrate that the proposed algorithm has better comprehensive scheduling performance than up-to-date algorithms that consider the pulse interleaving technique for both single beam and multiple beams receiving modes.Besides,the proposed algorithm can realize dwell scheduling in realtime.

Novel radar dwell scheduling algorithm based on pulse interleaving

The problem of scheduling radar dwells in multifunction phased array radar systems is addressed. A novel dwell scheduling algorithm is proposed. The whole scheduling process is based on an online pulse interleaving technique. It takes the system timing and energy constraints into account. In order to adapt the dynamic task load, the algorithm considers both the priorities and deadlines of tasks. The simulation results demonstrate that compared with the conventional adaptive dwell scheduling algorithm, the proposed one can improve the task drop rate and system resource utility effectively.

Dwell scheduling algorithm for multifunction phased array radars based on the scheduling gain

A real-time dwell scheduling model, which takes the time and energy constraints into account is founded from the viewpoint of scheduling gain. Scheduling design is turned into a nonlinear programming procedure. The real-time dwell scheduling algorithm based on the scheduling gain is presented with the help of two heuristic rules. The simulation results demonstrate that compared with the conventional adaptive scheduling method, the algorithm proposed not only increases the scheduling gain and the time utility but also decreases the task drop rate.

MIMO radar dwell scheduling based on novel pulse interleaving technique

According to the signal processing characteristic of MIMO radars,an adaptive dwell scheduling algorithm is proposed.It is based on a novel pulse interleaving technique,which makes full use of transmitting,waiting and receiving durations of radar dwells.The utilization of transmitting duration is unique for MIMO radars and is realized through transmitting duration overlapping.Simulation results show that,compared with the conventional scheduling algorithm,the scheduling performance of MIMO radars can be improved effectively by the proposed algorithm,and the scheduling rule can be chosen arbitrarily when using the proposed algorithm.

Online adaptive dwell scheduling based on dynamic template for PAR

An adaptive dwell scheduling algorithm for phased array radar(PAR)is proposed in this paper.The concept of online dynamic template is introduced,based on which a general pulse interleaving technique for PAR is put forward.The pulse interleaving condition of the novel pulse interleaving is more intuitive and general.The traditional adaptive dwell scheduling algorithm combined with the general novel pulse interleaving technique results in the online adaptive dwell scheduling based on dynamic template for PAR is given.The proposed algorithm is suitable for radar tasks with multiple pulse repetition intervals(PRIs),which can be utilized in the actual radar system.For the purpose of further improving the scheduling efficiency,an efficient version is proposed.Simulation results demonstrate the effectiveness of the proposed algorithm and the efficient one.The proposed efficient algorithm can improve the time utilization ratio(TUR)by 9%,the hit value ratio(HVR)by 3.5%,and reduce the task drop ratio(TDR)by 6%in comparison with existing dwell scheduling algorithms considering pulse interleaving in PAR and the proposed efficient one.