Aziz, A., AbdelAzeem, M., ElBakly, A., Sabry, W. (2010). A novel multisensor integration approach for distributed detection systems with data fusion. test, 7(7th International Conference on Electrical Engineering ICEENG 2010), 1-12. doi: 10.21608/iceeng.2010.33244
Ashraf M. Aziz; M. H. AbdelAzeem; A. M. ElBakly; W. Sabry. "A novel multisensor integration approach for distributed detection systems with data fusion". test, 7, 7th International Conference on Electrical Engineering ICEENG 2010, 2010, 1-12. doi: 10.21608/iceeng.2010.33244
Aziz, A., AbdelAzeem, M., ElBakly, A., Sabry, W. (2010). 'A novel multisensor integration approach for distributed detection systems with data fusion', test, 7(7th International Conference on Electrical Engineering ICEENG 2010), pp. 1-12. doi: 10.21608/iceeng.2010.33244
Aziz, A., AbdelAzeem, M., ElBakly, A., Sabry, W. A novel multisensor integration approach for distributed detection systems with data fusion. test, 2010; 7(7th International Conference on Electrical Engineering ICEENG 2010): 1-12. doi: 10.21608/iceeng.2010.33244

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, Pages 1-12    PDF (154.05 K)
Document Type: Original Article
DOI: 10.21608/iceeng.2010.33244
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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