基于多信息融合的海洋监视卫星侦察效能分析  

Reconnaissance Effectiveness Analyses of Ocean Surveillance Satellite Based on Fusing Multidimensional Information

作　　者：朱建丰[1] 尤明懿[1] 

机构地区：[1]中国电子科技集团公司第三十六研究所,浙江嘉兴314033

出　　处：《系统仿真学报》2014年第11期2682-2686,2691,共6页Journal of System Simulation

摘　　要：基于多探测器数据融合,提出了一种应用于海洋监视卫星截获概率与目标识别分析的研究方法。建立了基于多维信息融合的截获概率理论模型,并开展了基于假定战场场景的数值仿真,仿真结果表明联合成像侦察、雷达侦察和通信侦察,可以提高对目标的截获概率;采取支持向量机方法进行了多维信息融合,融合结果表明联合成像侦察和通信侦察可以实现对目标的识别。Based on multi-sensors data fusion, a method applying to interception probability analysis and target recognition analysis of ocean surveillance satellite system was proposed. Establishing the theoretic model of interception probability based on multidimensional information fusion, the numerical simulation was conducted in the suppositional war scene. The simulation results show that the target interception probability can be improved by combining imaging, radar and communication reconnaissance. The fusion of multidimensional information was implemented using support vector machine, the fusion results show that the target recognition can be realized by combining imaging and communication reconnaissance.

关 键 词：海洋监视卫星 侦察效能 目标截获概率 目标识别概率 支持向量机 

分 类 号：TN971[电子电信—信号与信息处理]