Sensor configuration and activation for field detection in large sensor arrays

被引：13

作者：

Sung, Youngchul ^{[1
]}

Zhang, Xin ^{[2
]}

Tong, Lang ^{[3
]}

Poor, H. Vincent ^{[4
]}

机构：

[1] Korea Adv Inst Sci & Technol, Dept Elect Engn, Taejon 305701, South Korea

[2] United Technol Res Ctr, E Hartford, CT 06108 USA

[3] Cornell Univ, Sch Elect & Comp Engn, Ithaca, NY 14853 USA

[4] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2008年 / 56卷 / 02期

基金：

美国国家科学基金会;

关键词：

correlated signal; error exponent; Gauss-Markov field; Neyman-Pearson detection; optimal sampling; sensor configuration;

D O I：

10.1109/TSP.2007.907859

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The problem of sensor configuration for the detection of correlated random fields using large sensor arrays is considered. Using error exponents that characterize the asymptotic behavior of the optimal detector, the detection performance of different sensor configurations is analyzed and compared. The dependence of the optimal configuration on parameters such as sensor signal-to-noise ratio (SNR), field correlation, etc., is examined, yielding insights into the most effective choices for sensor selection in various operating conditions. Simulation results validate the analysis based on asymptotic results for finite sample cases.

引用

页码：447 / 463

页数：17

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