A Least Square Solution for Energy-Based Source Localization in Sensor Networks

Abstract:

In this paper, we consider the energy-based source localization in sensor networks. A least square solution to the maximum likelihood (ML) formulation of energy-based source localization is proposed. Since the ML-formulation is nonlinear and non-convex, we approximate it to a convex least square problem which can be solved directly. Simulation results show that with a rough initial estimate range of the acoustic source’s location, the proposed method can achieve a high degree of accuracy. Moreover, with thousands of times lower computational complexity than the semi-definite relaxation method, the proposed method can be effectively used in real time location systems (RTLS).

• Periodical: Advanced Materials Research (Volumes 605-607)
• Pages: 1094-1098
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.605-607.1094
• Online since: December 2012
• Authors: Na Jiang, Wen Bao Ai
• Keywords: Acoustic Energy, Least Square Estimation, Real Time Location Systems, Sensor Network, source Localization

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