Performance Analysis of a General Tree Structure for Target Detection in Wireless Sensor Networks

Varaee, Hadi; Mirjalily, Ghasem; Tadaion, Aliakbar

doi:10.1109/icfcc.2009.105

Cited by 4 publications

(1 citation statement)

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“…For conditionally dependent observations, the optimal fusion rules become intractable; they do not reduce to likelihood ratio tests. Recently, distributed detection algorithms have also been investigated under several communication constraints (Mirjalily et al, 2003;Varaee et al, 2009;Chen et al, 2004;Aldosari and Moura, 2005;Fabeck and Mathar, 2009;Quan et al, 2008Quan et al, , 2009). All the aforementioned algorithms focus on In this paper, under the background of underwater distributed detection using multiple sensors in the deep sea, a new united detection fusion and communication strategy is proposed.…”

Section: Introductionmentioning

confidence: 99%

Research on the strategy of underwater united detection fusion and communication using multi-sensor

Huang

Zhang

2011

J. Marine. Sci. Appl.

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In order to solve the distributed detection fusion problem of underwater target detection, when the signal to noise ratio (SNR) of the acoustic channel is low, a new strategy for united detection fusion and communication using multiple sensors was proposed. The performance of detection fusion was studied and compared based on the Neyman-Pearson principle when the binary phase shift keying (BPSK) and on-off keying (OOK) modes were used by the local sensors. The comparative simulation and analysis between the optimal likelihood ratio test and the proposed strategy was completed, and both the theoretical analysis and simulation indicate that using the proposed new strategy could improve the detection performance effectively.In theory, the proposed strategy of united detection fusion and communication is of great significance to the establishment of an underwater target detection system.

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