Add to ORKGThe problems of sensor configuration and activation for the detection of correlated random fields using large sensor arrays are considered. Using results that characterize the asymptotic behavior of the optimal detector, the detection performance of different sensor configurations are 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 and activation in various operating conditions. Simulation results validate the analysis based on asymptoti
Abstract — The problem of maximizing detection performance subject to an energy constraint is analyz...
Abstract—Using large deviations results that characterize the amount of information per node on a tw...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion ru...
Abstract — The problems of sensor configuration and activation for the detection of correlated rando...
The problem of scheduling sensor transmissions for the detection of correlated random fields using s...
The detection of hidden two-dimensional Gauss-Markov random fields us-ing sensor networks is conside...
This paper analyzes an optimal data collection and processing system for detecting a random signal f...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion r...
This dissertation investigates data reduction strategies from a signal processing perspective in cen...
This paper studies the sensor selection problem for random field estimation in wireless sensor netwo...
International audienceMost statistical inference methods for array processing assume an array of siz...
This thesis presents fundamental limits and practical algorithms for multi-sensor systems in 'large-...
International audienceThis paper addresses the performance analysis of two GLRT receivers in the cas...
45 p. improved presentation; more proofs provided.International audienceThis paper introduces a unif...
The problem of optimal node density for ad hoc sensor networks deployed for making inferences about ...
Abstract — The problem of maximizing detection performance subject to an energy constraint is analyz...
Abstract—Using large deviations results that characterize the amount of information per node on a tw...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion ru...
Abstract — The problems of sensor configuration and activation for the detection of correlated rando...
The problem of scheduling sensor transmissions for the detection of correlated random fields using s...
The detection of hidden two-dimensional Gauss-Markov random fields us-ing sensor networks is conside...
This paper analyzes an optimal data collection and processing system for detecting a random signal f...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion r...
This dissertation investigates data reduction strategies from a signal processing perspective in cen...
This paper studies the sensor selection problem for random field estimation in wireless sensor netwo...
International audienceMost statistical inference methods for array processing assume an array of siz...
This thesis presents fundamental limits and practical algorithms for multi-sensor systems in 'large-...
International audienceThis paper addresses the performance analysis of two GLRT receivers in the cas...
45 p. improved presentation; more proofs provided.International audienceThis paper introduces a unif...
The problem of optimal node density for ad hoc sensor networks deployed for making inferences about ...
Abstract — The problem of maximizing detection performance subject to an energy constraint is analyz...
Abstract—Using large deviations results that characterize the amount of information per node on a tw...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion ru...