A novel multisensor integration approach for distributed detection systems with data fusion | ||||
The International Conference on Electrical Engineering | ||||
Article 82, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Page 1-12 PDF (154.05 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/iceeng.2010.33244 | ||||
View on SCiNiTO | ||||
Authors | ||||
Ashraf M. Aziz1; M. H. AbdelAzeem1; A. M. ElBakly2; W. Sabry1 | ||||
1Egyptian Armed Forces. | ||||
2The Arab Academy for Science and Technology. | ||||
Abstract | ||||
Abstract: In this paper, we consider a binary distributed detection system in which a system of multiple sensors monitors a common volume and provides relevant binary decisions about the state of the environment to a data fusion center. The fusion center combines the binary decisions of the individual distributed sensors into a final global decision. We propose a new hard decision integration method for multiple sensor decision fusion systems. The proposed hard decision fusion method determines the false alarm probabilities and the detection probabilities that yield maximum performance. The performance of the proposed method is provided in case of Rayleigh distributed observations and is proved to be simple and efficient. | ||||
Keywords | ||||
Binary integration; distributed detection; decision fusion; multisensor detection | ||||
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