Minimax robust decentralized detection
Minimax robust decentralized detection
复制标题
Minimax鲁棒分散检测
DOI：
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发表时间：
1994
影响因子：
2.5
通讯作者：
H. Poor
中科院分区：
文献类型：
--
作者：
V. Veeravalli;T. Başar;H. Poor
研究了传感器分布不完全确定的分散检测问题。传感器分布被假定为属于已知的不确定性类。它示出了广泛的一类这样的问题，一组最不利的分布存在的极小极大鲁棒性检验之间的假设。因此，建立相应的极大极小鲁棒检验是简单的分散检测问题的解决方案，其中传感器分布被指定为最不利的分布。>
Decentralized detection problems are studied where the sensor distributions are not specified completely. The sensor distributions are assumed to belong to known uncertainty classes. It is shown for a broad class of such problems that a set of least favorable distributions exists for minimax robust testing between the hypotheses. It is hence established that the corresponding minimax robust tests are solutions to simple decentralized detection problems for which the sensor distributions are specified to be the least favorable distributions. >