An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Elements of signal detection and estimation
Elements of signal detection and estimation
Optimal importance sampling for some quadratic forms of ARMA processes
IEEE Transactions on Information Theory - Part 2
Detection of stochastic processes
IEEE Transactions on Information Theory
Neyman-pearson detection of gauss-Markov signals in noise: closed-form error exponentand properties
IEEE Transactions on Information Theory
An Analytical Model for Wireless Sensor Networks with Sleeping Nodes
IEEE Transactions on Mobile Computing
The impact of quasi-equally spaced sensor topologies on signal reconstruction
ACM Transactions on Sensor Networks (TOSN)
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The problems of sensor configuration and activation for the detection of correlated random fields using large sensor arrays are considered. Using results that characterize the large-array performance of sensor networks in this application, the detection capabilities of different sensor configurations are analyzed and compared. The dependence of the optimal choice of 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 and activation in various operating regimes.