摘要
提出一种用信息需求表征任务状态需求的方法,运用信息熵理论描述了目标信息的不确定性。在此基础上,分析了火控系统中探测、识别和跟踪任务状态的信息需求,并利用卡尔曼滤波器的目标状态估计能力对目标做IMM模型机动时的信息需求进行了研究。仿真结果表明该方法能够定量的描述出作战任务状态的信息需求,且具有一定的可行性和实用性。
A method that mission state requirement is information requirement was proposed. The information entropy was used to describe the uncertainty of target information, on the base of which, the information requirement in the detection, recognition, and track state was carefully analyzed And, the capability that the Kalman filter could estimate the state of target was used to analyze the information requirement when target did the IMM model. The results of simulation show that the information entropy could quantificationally describe the combat mission state requirement, and the method is feasible and practical.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2009年第5期1427-1431,共5页
Journal of System Simulation
基金
"十一五"预研项目(KJ-050402011)
空军重点基金项目(KJ-06085)
关键词
任务状态需求
信息熵
卡尔曼滤波
信息需求
IMM模型
mission state requirement
information entropy
Kalman filter
information requirement
IMM model
