Chernoff Test for Strong-or-Weak Radar Models
Chernoff Test for Strong-or-Weak Radar Models
复制标题
强弱雷达模型的切尔诺夫测试
DOI：
--
复制
发表时间：
2017
影响因子：
5.4
通讯作者：
V. Matta
中科院分区：
文献类型：
--
作者：
M. Franceschetti;S. Maranò;V. Matta
推理系统中感知阶段的主动管理提供了性能上的实质性增益。这是H.在1959年的序贯假设检验的背景下。本文展示了这些方法的认知雷达系统的应用。我们提出了一个简单的强或弱模型的雷达回波，雷达顺序探测周围的环境使用一系列的波形，每个量身定制的特定目标。我们提供了一个主动的多假设序贯测试中，雷达选择探测波形的基础上，过去的选择和过去的雷达回波。我们确定如何选择波形的序列，并提供简单的分析表达式，从而在政权的小风险的雷达性能。最后，计算机模拟被用来证实的分析近似值的风险的实际利益。
The active management of the sensing stage in inference systems provides substantial gains in performance. This has been first shown by H. Chernoff in 1959 in the context of sequential hypothesis testing. This paper shows applications of these methods to cognitive radar systems. We propose a simple strong-or-weak model for the radar echoes, where the radar sequentially probes the surrounding environment using a sequence of waveforms, each tailored to a specific target. We provide an active multihypothesis sequential test in which the radar chooses the probing waveform based upon the past selections and the past radar returns. We determine how to select the sequence of waveforms, and provide simple analytical expressions for the resulting radar performance in the regime of small risks. Finally, computer simulations are used to corroborate the analytical approximations for values of risks of practical interest.