为有效提升远海岛礁及周边海域防卫综合能力,提出一种基于质量屋(quality house technology,HOQ)的远海岛礁防卫地理信息保障需求分析方法。根据远海岛礁防卫的作战需求,利用HOQ技术定量分析远海岛礁防卫地理信息保障需求,建立作战需求...为有效提升远海岛礁及周边海域防卫综合能力,提出一种基于质量屋(quality house technology,HOQ)的远海岛礁防卫地理信息保障需求分析方法。根据远海岛礁防卫的作战需求,利用HOQ技术定量分析远海岛礁防卫地理信息保障需求,建立作战需求与地理信息保障需求间的联系,实现保障需求定性与定量分析的结合,提升需求分析的精准度,并最终得出量化的地理信息保障需求度分析结论。结果表明,该方法能为各类作战行动对地理信息保障需求的分析提供借鉴。展开更多
短波分集通信网采用多个频率保障用户通信,以提高接收可靠性。当前,其采用“先到先得、用后释放”的方式为用户通信提供频率保障。在多用户并发接入时,存在频率资源消耗过大和频率资源浪费问题。本文提出对短波分集通信网频率资源进行规...短波分集通信网采用多个频率保障用户通信,以提高接收可靠性。当前,其采用“先到先得、用后释放”的方式为用户通信提供频率保障。在多用户并发接入时,存在频率资源消耗过大和频率资源浪费问题。本文提出对短波分集通信网频率资源进行规划,以满足给定用户需求情况下使用最少频率为优化目标进行建模,并利用遗传算法对模型进行求解。仿真结果表明,采用遗传算法对用户进行频率规划比“先到先得、用后释放”的方式具有更高的频率利用效率,证明了短波分集网服务大量用户时采用频率规划的必要性。HF diversity communication network adopts multiple frequencies to support user communication, in order to improve the reliability of receiving. At present, it adopts the method of “first come, first served, release after use” to provide a frequency guarantee for user communication. When multiple users access concurrently, there are problems of excessive consumption and the waste of frequency resources. In this paper, we propose the frequency resource planning of HF diversity communication network and model the optimization goal using the least frequency to meet the given user’s needs, and a genetic algorithm is used to solve the model. The simulation results show genetic algorithm has higher frequency utilization efficiency than the “first come, first served, release after use” method, which proves the necessity of frequency planning when the HF diversity network serves a large number of users.展开更多
文摘为有效提升远海岛礁及周边海域防卫综合能力,提出一种基于质量屋(quality house technology,HOQ)的远海岛礁防卫地理信息保障需求分析方法。根据远海岛礁防卫的作战需求,利用HOQ技术定量分析远海岛礁防卫地理信息保障需求,建立作战需求与地理信息保障需求间的联系,实现保障需求定性与定量分析的结合,提升需求分析的精准度,并最终得出量化的地理信息保障需求度分析结论。结果表明,该方法能为各类作战行动对地理信息保障需求的分析提供借鉴。
文摘短波分集通信网采用多个频率保障用户通信,以提高接收可靠性。当前,其采用“先到先得、用后释放”的方式为用户通信提供频率保障。在多用户并发接入时,存在频率资源消耗过大和频率资源浪费问题。本文提出对短波分集通信网频率资源进行规划,以满足给定用户需求情况下使用最少频率为优化目标进行建模,并利用遗传算法对模型进行求解。仿真结果表明,采用遗传算法对用户进行频率规划比“先到先得、用后释放”的方式具有更高的频率利用效率,证明了短波分集网服务大量用户时采用频率规划的必要性。HF diversity communication network adopts multiple frequencies to support user communication, in order to improve the reliability of receiving. At present, it adopts the method of “first come, first served, release after use” to provide a frequency guarantee for user communication. When multiple users access concurrently, there are problems of excessive consumption and the waste of frequency resources. In this paper, we propose the frequency resource planning of HF diversity communication network and model the optimization goal using the least frequency to meet the given user’s needs, and a genetic algorithm is used to solve the model. The simulation results show genetic algorithm has higher frequency utilization efficiency than the “first come, first served, release after use” method, which proves the necessity of frequency planning when the HF diversity network serves a large number of users.
