基于K传感器的最优多区域搜索技术探测失联目标

M. El-Hadidy, Hamdy M. Abou-Gabal, A. Gabr
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引用次数: 2

摘要

提出了一种基于传感器的多区域离散搜索技术。搜索区域被划分为多个区域。这些区域包含相同数量的状态(单元),但不一定相同。每个区域都有一个传感器来探测目标。目标根据随机过程在细胞上移动。我们把搜索量看作一个已知概率分布的随机变量。给出了在一定状态和时间间隔下具有折现奖励函数的检测函数。通过求解离散随机优化问题,得到了使未检测概率最小的最优努力分布。构造了一种求解数值应用中最优解的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Multi Zones Search Technique to Detect a Lost Target by Using K Sensors
This paper presents the discrete search technique on multi zones to detect a lost target by using  sensors. The search region is divided into  zones. These zones contain an equal number of states (cells) not necessarily identical. Each zone has a one sensor to detect the target. The target moves over the cells according to a random process. We consider the searching effort as a random variable with a known probability distribution. The detection function with the discounted reward function in a certain state  and time interval  are given. The optimal effort distribution that minimizes the probability of undetection is obtained after solving a discrete stochastic optimization problem. An algorithm is constructed to obtain the optimal solution as in the numerical application.
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