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Comments on 'Optimal multiple level decision fusion with distributed sensors'

机译:关于“具有分布式传感器的最优多级决策融合”的评论

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摘要

In the original article ~see ibid vol. 29, no. 4, p. 1252-59, 1993 the authors consider the problem of target detection with multiple sensors and propose a decentralized decision network with multiple fusion levels with improved reliability to link failures. They also derive the detection performance of the system, called multiple level parallel decision fusion (MLPDF), and carry out a comparison of their system with the conventional parallel distributed model. In this letter we show that, even if it is less sensitive to link failures, it is not true that the MLPDF system has better detection performance than the conventional parallel fusion system. In fact we show that the performance results derived in the original paper are based on a wrong assumption and lead to an absurdity.
机译:在原始文章中,请参见同上。 29号4,第作者在1993年出版的1252-59中考虑了使用多个传感器进行目标检测的问题,并提出了一种具有多个融合级别且具有更高可靠性的分散决策网络来链接故障。他们还得出了系统的检测性能,称为多级并行决策融合(MLPDF),并将其系统与常规并行分布式模型进行了比较。在这封信中,我们表明,即使对链接故障不那么敏感,但MLPDF系统的检测性能却不如常规并行融合系统好。实际上,我们表明原始论文中得出的性能结果是基于错误的假设并导致荒谬的。

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