相控阵雷达资源调度优化算法的研究

发布时间：2018-09-11 19:07

【摘要】：相控阵雷达的阵列天线具有波束捷变能力,因此多功能相控阵雷达能快速交替进行搜索和跟踪等操作。如何在时间资源、能量资源及计算机资源有限的前提下,合理的资源调度分配任务对优化雷达的整体性能起到了至关重要的作用。在雷达资源调度前,需要先对任务进行优先级分配。根据各个任务优先级的先后次序进行调度的排序。在已有的优先级排序算法中,只是针对每个任务的优先级进行一次排序,这样就会使很多优先级比较低但是比较紧迫的驻留任务被丢弃,进而造成了调度任务成功数减少。针对此类问题,提出了二次优先级分配算法,创新性地把二次优先级分配用在调度模块中。该算法不仅涉及到了任务的优先级而且加入了截止期的因素,即利用优先级、截止期相结合的思想,在一次分配的基础上以整个调度间隔的帧周期对任务进行二次分配,可以在一个调度间隔内执行更多的驻留任务。因此,降低了任务的丢失率以及提高了雷达的资源利用率。任务优先级的综合排序是为下一个的调度模块进行准备。由于系统的资源有限,如何在有限的雷达系统资源下尽可能多的调度任务,资源调度算法担任着重要角色。比较常见的一种方法是自适应脉冲交错调度算法。该算法虽然在雷达资源利用率上得到了提高,但是通常只考虑了一些简单的雷达资源约束,因此对雷达资源的利用不充分。针对此问题,提出了一种优化的脉冲交错调度算法。该算法引用时间指针遍历等待期的驻留时间,在不影响前一个脉冲接收和发射的前提下,进行接收或发射其他的脉冲。通过为每个时间点选择合适的任务进行仿真分析并与已有的算法进行对比,仿真结果表明,该算法从各项评估指标上体现了其优化的调度性能,验证了算法的有效性,特别是在调度越多的时候此算法的性能优势体现的越明显,达到了高效调度的目的。最后综合了前面的内容设计了一个雷达任务调度仿真系统,并在MATLAB环境下实现了该仿真系统。本文的仿真系统目的是实现基于二次优先级分配和优化的脉冲交错调度算法的图形化界面及更直接地验证该算法的有效性和优化性。在该界面上,可以根据不同的需求设置搜索参数、跟踪参数及目标参数等。通过界面上的仿真Button实现一键仿真并且给出仿真结果。
[Abstract]:The array antenna of phased array radar has beam-agile capability, so multi-function phased array radar can perform searching and tracking operations alternately. On the premise of limited time, energy and computer resources, reasonable resource allocation plays an important role in optimizing the overall performance of radar. It is necessary to assign priority to the task before the radar resource scheduling. Scheduling is arranged according to the priority of each task. Among the existing priority sorting algorithms, the priority of each task is only sorted once, which results in a lot of lower priority but more urgent resident tasks being discarded, thus reducing the number of successful scheduling tasks. In order to solve this problem, a quadratic priority allocation algorithm is proposed, and the quadratic priority allocation is innovatively used in the scheduling module. The algorithm not only involves the priority of tasks, but also adds the factors of deadline, that is, using the idea of combining priority and deadline, the task is assigned twice on the basis of one assignment and the frame period of the whole scheduling interval. More resident tasks can be performed within a scheduling interval. Therefore, the mission loss rate is reduced and the radar resource utilization is improved. The comprehensive sorting of task priorities is prepared for the next scheduling module. Due to the limited resources of the system, the resource scheduling algorithm plays an important role in how to schedule as many tasks as possible under the limited radar system resources. One of the most common methods is the adaptive pulse interleaving scheduling algorithm. Although the efficiency of radar resources is improved, the algorithm usually only considers some simple constraints of radar resources, so the utilization of radar resources is not sufficient. To solve this problem, an optimized pulse interleaving scheduling algorithm is proposed. The algorithm uses the time pointer to traverse the resident time of the waiting period and receives or transmits other pulses without affecting the reception and transmission of the previous pulse. By selecting the appropriate task for each time point and comparing it with the existing algorithms, the simulation results show that the algorithm embodies its optimal scheduling performance from each evaluation index, and verifies the effectiveness of the algorithm. Especially when the scheduling is more, the performance advantage of this algorithm is more obvious, which achieves the purpose of efficient scheduling. Finally, a radar task scheduling simulation system is designed by synthesizing the previous contents, and the simulation system is implemented in MATLAB environment. The purpose of the simulation system in this paper is to realize the graphical interface of pulse interleaving scheduling algorithm based on quadratic priority allocation and optimization and to verify the validity and optimization of the algorithm more directly. In this interface, search parameters, tracking parameters and target parameters can be set according to different requirements. The one-button simulation is realized by the simulation Button on the interface and the simulation results are given.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN958.92

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