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机构地区:[1]国防科学技术大学电子科学与工程学院,长沙410073
出 处:《现代雷达》2009年第9期28-31,35,共5页Modern Radar
基 金:装备预先研究项目
摘 要:提出了一种基于概率轨迹的相控阵雷达最优波位搜索时序模型。该模型根据预警信息的统计特性,将目标的位置和速度引导误差分布等效为多条目标以一定概率沿其飞行的航迹,即概率轨迹。通过递推的方式实时计算更新各轨迹的概率,从而动态地得到各波位的目标落入概率,依据最大累积发现概率准则确定雷达波位的搜索时序。仿真结果充分验证了该模型在高速运动目标条件下具有比传统的最优搜索模型更佳的探测性能。The high speed movement of the ballistic missile has brought enormous challenge to the tracking and guiding radars in ballistic missile defense system. In this paper, an optimal search beam order model of phased array radar based on probability trajectories is proposed. In this method, the distribution of the position and velocity of the target is treated equally as several trajectories, along each of which the target will fly with certain probability, and these are so-called probability trajectories. The fallen in probabilities of targets can be obtained dynancically with recursive calculation and refresh of the probability of each trajectory in real time. Based on above, the search beam order can be decided using the rule of maximal cumulative detection probability. Finally, simulation results are given, which adequately validate that the model proposed in this paper has performances under the condition of high speed targets is better than that of the traditional optimal search model.
关 键 词:弹道导弹防御 跟踪制导雷达 概率轨迹 最优搜索时序 累积发现概率
分 类 号:TN959.2[电子电信—信号与信息处理]
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