Optimal bandwidth assignment for distributed sequential detection
- 25 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 49-55
- https://doi.org/10.1109/icif.2002.1021130
Abstract
In this paper, distributed sequential detection problems with quantized observations are investigated. The observations available at each sensor are first compressed to multi-bit sensor decisions (soft decisions) and sent to the fusion center. At the fusion center, a sequential data fusion scheme is implemented in order to reach a global decision. Optimal bandwidth distribution among sensors is considered under communication constraints as well as under a generalized cost formulation. A system optimization algorithm is developed, including optimal fusion center design and optimal local quantizer design, for the minimization of the average sample number, given prespecified values of the probabilities of false alarm and miss. Simulations of the algorithm show that this approach succeeds in effective optimal bandwidth assignment.Keywords
This publication has 9 references indexed in Scilit:
- On the optimality of finite-level quantizations for distributed signal detectionIEEE Transactions on Information Theory, 2001
- Communication structure planning for multisensor detection systemsIEE Proceedings - Radar, Sonar and Navigation, 2001
- Distributed detection with multiple sensors I. Advanced topicsProceedings of the IEEE, 1997
- Distributed detection with multiple sensors I. FundamentalsProceedings of the IEEE, 1997
- Distributed Detection and Data FusionPublished by Springer Nature ,1997
- Decentralized sequential detection with a fusion center performing the sequential testIEEE Transactions on Information Theory, 1993
- Nonlinear Renewal Theory in Sequential AnalysisPublished by Society for Industrial & Applied Mathematics (SIAM) ,1982
- Discrete Optimization Via Marginal AnalysisManagement Science, 1966
- Optimum Character of the Sequential Probability Ratio TestThe Annals of Mathematical Statistics, 1948