Sensor configuration and activation for field detection in large sensor arrays

Youngchul Sung, Xin Zhang, Lang Tong, H. Vincent Poor

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)447-463
Number of pages17
JournalIEEE Transactions on Signal Processing
Issue number2
StatePublished - Feb 2008

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering


  • Correlated signal
  • Error exponent
  • Gauss and Markov field
  • Neyman and Pearson detection
  • Optimal sampling
  • Sensor configuration


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