基于初步目标指定数据的运动物体搜索区域大小优化

A. Shepeta, V. Nenashev
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引用次数: 0

摘要

在发生海难的情况下进行救援行动意味着需要解决探测遇险船舶和用于救援人员的浮动设备的问题。在这种情况下,关键任务是在检测到假警报和高概率检测到物理对象时,最大限度地减少给定区域的搜索时间。这些任务可以通过配备小型光学雷达站的无人机以自动或自动化方式解决。以给定的概率选择被探测物体的适当覆盖区域,并根据机载小型雷达分辨率要素中物体位置的概率数字图组织该区域的扫描方式,从而最大限度地缩短搜索时间。这本书专门讨论这个问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization the Size of the Search Area for Moving Physical Objects Based on Preliminary Target Designation Data
Carrying out rescue operations in case of shipwrecks implies the need to solve the problems of detecting ships in distress and floating equipment used to rescue people. In this case, the crucial task is minimizing the search time in a given area when detecting false alarms and a high probability of detecting physical objects. Such tasks can be solved in automatic or automated mode using unmanned aerial vehicles equipped with small optical radar stations. The search time is minimized by choosing the appropriate coverage area of the detected physical object with a given probability and organizing the scanning mode of this area in accordance with the probabilistic digital map of the object's location in the resolution elements of the onboard small-sized radar. This work is devoted to this issue.
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