Energy Detection for MIMO Decision Fusion in Underwater Sensor Networks
- 23 October 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Sensors Journal
- Vol. 15 (3), 1630-1640
- https://doi.org/10.1109/jsen.2014.2364856
Abstract
In this paper, we study the performance of the energy detector when considered for binary hypothesis decision fusion in underwater acoustic wireless sensor networks with a multiple-access reporting channel. Energy detection is appealing in terms of computational complexity and limited system knowledge requirements, i.e., channel state information, signal-to-noise ratio, and local performance of the sensors are not needed at the receiver side, then the interest for performance assessment over underwater acoustic channels arises. Here, we demonstrate that energy detection may be applied with good results to underwater sensor networks. The impact on the performance of various design parameters is considered, including sampling frequency, number of transmitting sensors, and number of receiving elements (hydrophones).Keywords
Funding Information
- ERCIM within the Alain Bensoussan Fellowship Program
- Project entitled Embedded Systems within the Research Framework Networks of Excellence through the POR Campania FSE 2007/2013, Italy
- Faculty of Information Technology, Mathematics and Electrical Engineering, Norwegian University of Science and Technology, Trondheim, Norway, through the CAMOS Project
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