矩形目标检测的最优传感器配置
Optimal Sensor Configurations for Rectangular Target Dectection
AI总结：
针对具有矩形对称性和均匀分布朝向的目标，提出一种在半个圆周上均匀选择n个角度的最优搜索策略，并给出未检测概率的下界。
摘要：
找到了从多个不同角度观测目标的最优搜索策略。假设目标具有矩形对称性且朝向均匀分布。矩形对称性意味着目标的一侧是其相对侧的镜像。找到最优解通常是一个难题。幸运的是，对称性原理允许找到解析且直观的解。一种这样的最优搜索策略包括在半个圆周上均匀选择n个角度，并给出了未检测到目标的概率的下界。由于不需要目标朝向的先验知识，这种搜索策略也具有鲁棒性，这是搜索和探测任务中的一个理想特性。
英文摘要：
Optimal search strategies where targets are observed at several different angles are found. Targets are assumed to exhibit rectangular symmetry and have a uniformly-distributed orientation. By rectangular symmetry, it is meant that one side of a target is the mirror image of its opposite side. Finding an optimal solution is generally a hard problem. Fortunately, symmetry principles allow analytical and intuitive solutions to be found. One such optimal search strategy consists of choosing n angles evenly separated on the half-circle and leads to a lower bound of the probability of not detecting targets. As no prior knowledge of the target orientation is required, such search strategies are also robust, a desirable feature in search and detection missions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
