THE SUBOPTIMALITY OF RANDOMIZED-TESTS IN DISTRIBUTED AND QUANTIZED DETECTION SYSTEMS

被引：44

作者：

WILLETT, P ^{[1
]}

WARREN, D ^{[1
]}

机构：

[1] UNIV ILLINOIS,DEPT ELECT ENGN & COMP SCI,M-C 154,CHICAGO,IL 60680

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 1992年 / 38卷 / 02期

基金：

美国国家科学基金会;

关键词：

DECENTRALIZED DETECTION; QUANTIZATION; RANDOMIZATION; DATA FUSION;

D O I：

10.1109/18.119692

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The design of decentralized (or quantized) detection systems requires simultaneous optimization of quantizer mappings and ultimate fusion rule. It is shown that if the likelihood ratios of the unquantized (or raw) observations are independent and contain no point-masses of probability, the optimal test does not randomize; this is so despite the fact that the data to be fused can be considered discrete. The result is a considerable simplification in the design search.

引用

页码：355 / 361

页数：7

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