The problem of sequential multiple hypothesis testing in a distributed sensor network is considered and two algorithms are proposed: the Consensus + Innovations Matrix Sequential Probability Ratio Test (CIMSPRT for mu...
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ISBN:
(纸本)9781538646595
The problem of sequential multiple hypothesis testing in a distributed sensor network is considered and two algorithms are proposed: the Consensus + Innovations Matrix Sequential Probability Ratio Test (CIMSPRT for multiple simple hypotheses and the robust Least-Favorable-Density- CIMSPRT for hypotheses with uncertainties in the corresponding distributions. Simulations are performed to verify and evaluate the performance of both algorithms under different network conditions and noise contaminations.
We consider the problem of distributed detection involving multiple sensor nodes to jointly detect the presence of an unknown signal. To circumvent power/bandwidth constraints, a multilevel quantizer is employed in ea...
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ISBN:
(纸本)9781479919499
We consider the problem of distributed detection involving multiple sensor nodes to jointly detect the presence of an unknown signal. To circumvent power/bandwidth constraints, a multilevel quantizer is employed in each sensor to quantize the original observation. The quantized data are transmitted through distortion channels to a fusion center where a generalized likelihood ratio test (GLRT) detector is employed to perform a global decision. We propose a quantizer design approach by maximizing the Fisher information with respect to the quantization thresholds. Numerical results demonstrate that with 2- or 3-bit quantization, the GLRT detector can provide detection performance very close to that of the unquantized GLRT detector which uses the original observations without quantization.
Spatial registration is an essential prerequisite and foundation for multi-radar signal-fusion based detection. In this paper, we present a space registration method that partitions the surveillance volumes into multi...
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Spatial registration is an essential prerequisite and foundation for multi-radar signal-fusion based detection. In this paper, we present a space registration method that partitions the surveillance volumes into multiple points for signals from widely separated radar sites to align to, so that in the signal fusion centre, signal fusion and target detection are performed over those spatial points. By adjusting the spacing of those spatial points, we can control the signal-noise ratio loss due to spatial partition, as verified by numerical results.
Modeling Statistically Dependent observations in a Wireless Sensor Network (WSN) environment is considered by Copula approach. Copulas model dependence of several random variables. Multivariate distribution function w...
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ISBN:
(纸本)9781467393393
Modeling Statistically Dependent observations in a Wireless Sensor Network (WSN) environment is considered by Copula approach. Copulas model dependence of several random variables. Multivariate distribution function with arbitrary marginal distributions can be constructed using copulas. This paper extends the copula approach for three sensor design with reference to 3-D model. Also mathematical model is developed for evaluating their joint distribution functions with copulas.
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