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2D组网雷达目标高度的最大似然估计 被引量:9

ML Estimation of Height in a 2-dimensional Radar Based on Network
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摘要 给出2D多雷达组网中基于最大似然估计目标高度的方法,以及有先验信息约束条件下的目标高度估计误差的下界(CRLB)。对两种典型的空地雷达配置情况进行了仿真。讨论了不同空地雷达组网配置的情况、雷达和目标的相对位置、雷达距离和角度测量精度对高度估计精度的影响。文中的结论对空地一体化组网雷达的配置和管理具有一定参考价值。 A method based on maximum likelihood to estimate the target height in 2-D radar network is presented. The CRLB of height estimation is also derived. Simulations are made for some typical configurations consisting of both ground-based and airborne radar. Some conclusions are drawn based on the numerical results for various conditions. The conclusions in this paper are useful in integrated air-ground radar-netting and in sensor management.
出处 《现代雷达》 CSCD 北大核心 2005年第9期7-9,17,共4页 Modern Radar
基金 国防科技重点实验室基金资助项目(51431040103DZ2401)
关键词 雷达组网 高度估计 Cramér-Rao下界 最大似然估计 radar netting height estimation Cramér-Rao low bound maximum likelihood estimation (ML)
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参考文献9

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