Conference proceeding
On the Complexity of a Simple Suboptimal Design for Bayesian Distributed Detection Systems
1991 American Control Conference, v 3, pp 2172-2173
Jun 1991
Abstract
We analyze and compare two multi-sensor multi-observation detection schemes, and discuss their hardware complexity (-number of sensors). The studied schemes are: a Bayesian optimal parallel-sensor centralized architecture and a suboptimal binary distributed-detection system. We demonstrate the tradeoff between performance and hardware complexity, and calculate the cost (in terms of hardware units) of the design simplicity which characterizes the suboptimal system. Results are useful for comparing different distributed-sensor detection schemes. It is shown that in the Gaussian case, a high signal-to-noise ratio decentralized system with 2N sensorldetectors performs at least as well as the centralized system with N sensors and a single detector.
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Details
- Title
- On the Complexity of a Simple Suboptimal Design for Bayesian Distributed Detection Systems
- Creators
- Moshe Kam - Drexel UniversityWei Chang - Drexel UniversityQiang Zhu - Drexel University
- Publication Details
- 1991 American Control Conference, v 3, pp 2172-2173
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Scopus ID
- 2-s2.0-0026403221
- Other Identifier
- 991019346808904721