Passive source localization using power spectral analysis and decision fusion in wireless distributed sensor networks

Rahman, M. Z.; Karmakar, G. C. and Dooley, L. S. (2005). Passive source localization using power spectral analysis and decision fusion in wireless distributed sensor networks. In: IEEE International Conference on Information Technology, Coding and Computing (ITCC '05), 4-6 Apr 2005, Las Vegas.

DOI: https://doi.org/10.1109/ITCC.2005.225

Abstract

Source localization is a challenging issue for multisensor multitarget detection, tracking and estimation problems in wireless distributed sensor networks. In this paper, a novel source localization method, called passive source localization using power spectral analysis and decision fusion in wireless distributed sensor networks is presented. This includes an energy decay model for acoustic signals. The new method is computationally efficient and requires less bandwidth compared with current methods by making localization decisions at individual nodes and performing decision fusion at the manager node. This eliminates the requirement of sophisticated synchronization. A simulation of the proposed method is performed using different numbers of sources and sensor nodes. Simulation results confirmed the improved performance of this method under ideal and noisy conditions.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI

About

• Item ORO ID
• 11660
• Item Type
• Conference or Workshop Item
• Extra Information
• ISBN: 0-7695-2315-3
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Depositing User
• Laurence Dooley