多传感器分布式Neyman-Pearson检测

MULTISENSOR DISTRIBUTED NEYMAN-PEARSON DECISION

作者讨论了在相关观测下，固定融合律的多传感器分布式二元Ｎｅｙｍａｎ－Ｐｅａｒｓｏｎ检测．给出了最优分站压缩律的不动点类的必要条件和相应的离散迭代算法，讨论了算法的收敛性．最后，用计算机数值模拟数据，比较了在各种固定融合律下，分布式Ｎｅｙｍａｎ－Ｐｅａｒｓｏｎ检测的性能．

The authors consider multisensor distributed Neyman-Pe arson decision with correlated sensor observation data and suggest an efficient algorithm to search for optimum local compression rules for any fixed fusion rul e. The results are supported by computer simulations.