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防空作战指挥辅助决策中目标不确定信息处理研究

论文标题:防空作战指挥辅助决策中目标不确定信息处理研究
Research on Processing Method of Target Uncertain Information for Anti-air Combat Command Decision-aid
论文作者
论文导师 王付明,论文学位 硕士,论文专业 作战指挥学
论文单位 解放军信息工程大学,点击次数 425,论文页数 75页File Size4496K
2007-04-20论文网 http://www.lw23.com/lunwen_133286787/
Anti-air Combat Decision-aid;; Information Fusion;; Target Identification;; Situation Assessment;; Situation Forecast
防空作战指挥辅助决策系统是实现我军防空作战指挥科学决策,提高我军防空作战整体效能的一项关键内容,其中对不确定信息的处理问题是当前研究的热点与难点,主要包括对空中目标识别、态势估计和态势预测中不确定信息的处理问题。本文重点研究不确定信息条件下,空中目标识别中基于信息融合的目标二次识别问题,态势估计中目标战术意图判别问题,态势预测中目标战术行动类型判断、目标航迹预测以及目标行动后综合态势预测问题。 针对目标识别中不确定信息处理问题,综合运用有序加权平均算子(OWA)、组合加权算术平均算子(CWAA)、离差最大化原则和信息熵,构建基于OWA算子和CWAA算子的两级式多传感器信息融合目标二次识别模型。针对态势估计中不确定信息处理问题,通过融合神经网络与模糊推理,构建基于神经网络—模糊推理(NN—FR)的空中目标战术意图推理模型;利用模糊概念因素分解方法,给出战术规则信息库中信息的模糊知识描述方法;利用构建基于模糊粗糙集的信息系统,提出基于模糊粗糙集的模糊推理规则约简方法。针对态势预测中不确定信息处理问题,阐述基于模板技术的目标战术行动类型判断模型;综合运用灰色BP神经网络模型与自回归时序AR模型,构建空中目标航迹灰色预测模型;利用具有非线性系统动力学特性的径向基函数神经网络,构建基于径向基函数神经网络信息融合的综合态势预测模型。
The anti-air combat command decision-aid system is very important to enhance the whole efficiency of anti-air combat and to realize the scientific decision for anti-air combat command. The processing of uncertain information is a hot and hard topic up to now. It mainly includes three parts which are the processing of uncertain information for air-target identification, the situation assessment and the situation forecast. The main research of the article is on the second time air-target identification based on information fusion in air-target identification, the air-target tactical intention inference in situation assessment, and the air-target tactical action type estimate, the air-target movement forecast, the synthetic situation forecast in situation forecast. Aiming at settle the problem of uncertain information processing in air-target identification, a two-level attribute information fusion model based on OWA and CWAA is established, and the air-target is identified by using OWA, CWAA, the difference maxim, and the information entropy. Aiming at settle the problem of uncertain information processing in situation assessment, an air-target tactical intention inference model based on NN—FR is established by fusing neural networks and fuzzy inference. A method to express the fuzzy information in tactical database is presented by using fuzzy concept analysis. A method to mine the fuzzy rule in tactical database based on fuzzy rough set theory is presented by building information system on fuzzy rough set. Aiming at settle the problem of uncertain information processing in situation forecast, an air-target tactical action type estimate model based on template technology is introduced, air-target movement forecast model is established by fusing the grey neural networks forecast model and the self—regression time series AR. In order to fuse information, a synthetic situation forecast model based on radial basis function neural network is established.

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