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Active-testing surveillance for multiple target detection with composite hypotheses

机译:采用复合假设的主动测试监视以进行多目标检测

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We consider a multiple target detection problem in which there are N target sites, or cells, which can be energized independently, while the total energy available is finite. In the specific model used here, the data are conditionally Poisson, with the mean being the product of the transmitted energy and the gamma distributed reflectivity. A Bayesian sequential analysis procedure for target detection is proposed and strategies for partitioning the available energy at each iteration are compared.
机译:我们考虑多个目标检测问题,其中有n个目标网站,或者可以独立地通电的细胞,而可用的总能量是有限的。在这里使用的具体模型中,数据是有条件的泊松,其平均值是透射能量和伽马分布式反射率的乘积。提出了一种贝叶斯序列分析程序,以及对每个迭代的可用能量进行分区的策略。

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