| 多传感器分布式Neyman—Pearson检测 |
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| 引用本文： | 甘宇,朱允民.多传感器分布式Neyman—Pearson检测[J].四川大学学报(自然科学版),2001,38(2):146-150. |
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| 作者姓名： | 甘宇 朱允民 |
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| 作者单位： | 四川大学数学学院, |
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| 摘 要： | 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。
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| 关 键 词： | 相关观测 多传感器分布式检测 Neyman－Pearson准则 分站压缩律 融合律 离散迭代算法 |
| 文章编号： | 0490-6756(2001)02-0146-05 |
MULTISENSOR DISTRIBUTED NEYMAN-PEARSON DECISION |
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| GAN Yu,ZHU Yun-rnin.MULTISENSOR DISTRIBUTED NEYMAN-PEARSON DECISION[J].Journal of Sichuan University (Natural Science Edition),2001,38(2):146-150. |
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| Authors: | GAN Yu ZHU Yun-rnin |
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| Abstract: | 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. |
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| Keywords: | correlated observation multisensor distributed decision Neyrnan-Pearson decision local compression rules fusion rule |
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