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为使有限的测控设备资源能够满足未来多目标测控能力的需求,对测控设备的初始跟踪目标分配、跟踪极限范围确定、引导信息优选和目标信息区分等关键技术展开研究,提出一套适用于多目标测控的资源动态优化分配方案,使得有限的测控设备资源得以充分利用,解决了多目标连射试验时由于测控资源数量有限和分配方案相对固定导致测控能力下降的问题,有利于规避多目标测控中测控资源短缺带来的风险。仿真结果表明,与传统固定资源分配方法相比较,该方法提高了测控资源利用率,且使引导数据切换更平稳,适应多目标测控技术的发展需求。
In order to make limited resources of measurement and control equipment to meet the needs of future multi-objective measurement and control capabilities, the key technologies such as the initial tracking target allocation of the measurement and control equipment, the determination of the tracking limit range, the selection of guidance information and the target information are studied. The optimal allocation of resources for the target measurement and control makes the limited resources of the measurement and control equipment fully utilized, which solves the problem of the decrease of the measurement and control ability due to the limited number of measurement and control resources and the relatively fixed distribution scheme in the multi-target burst test, which is helpful to avoid the multi-target measurement and control In the measurement and control of the risk of shortage of resources. The simulation results show that compared with the traditional fixed resource allocation method, this method improves the utilization rate of the measurement and control resources, and makes the boot data switching more stable and adapts to the development of multi-target measurement and control technology.