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Distributed Detection From Multiple Sensors with Correlated Observations.
(1989)
We address two problems of memoryless distributed dependent observations across time and sensors. In the first problem, the observation sequence of each sensor consists of common weak signal in additive dependent noise ...
Quantization and Fusion for Multi-Sensor Discrimination from Dependent Observations
(1991)
Schemes for quantization and fusion in multi-sensor systems used for discriminating between two sequences of dependent observations are introduced and analyzed. The observation sequences of each sensor under the two ...
On Robust Continuous-Time Discrimination.
(1987)
Continuous-time discrimination problems characterized by observations which are the output of stochastic dynamical systems driven by colored Gaussian noise are considered. The parameters of the dynamical systems belong to ...
Optimal Quantization and Fusion In Multi-Sensor Systems for the Detection of Weak Signals in Dependent Noise.
(1989)
Two problems of memoryless quantization and data fusion for the detection of a weak signal in stationary dependent noise are addressed: (i) fusion from sensors with mutually independent observations across sensors but ...
Distributed Detection of Weak Signals from Multiple Sensors with Correlated Observations.
(1988)
We address two problems of distributed detection of a weak signal from dependent observations. In the first problem, two detectors must decide on the basis of their observations whether a weak signal is present or not. The ...
On Minimax Robust Data Fusion.
(1988)
In this paper, minimax robust data fusion schemes based on discrete-time observations with statistical uncertainty are considered. The observations are assumed to be i.i.d and the decisions of all sensors independent when ...
Distributed Estimation of a Location Parameter in Dependent Noise.
(1989)
We address the problem of distributed estimation from dependent observations involving two sensors that collect observations of the same nonrandom location parameter THETA in additive noise. We consider two cases of interest, ...
Multi-Sensor Correlation and Quantization in Distributed Detection Systems
(1991)
Quantization and fusion schemes are derived for multi-sensor correlation in distributed K- sensor systems that are used for the detection of weak signals or general signal discrimination from dependent observations. The ...