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In wireless sensor networks, sensor position uncertainty degrades the accuracy of the energy-based target localization achieved using maximum likelihood estimation (MLE) methods. In this paper, we developed a new MLE approach that incorporates a model of sensor position uncertainty. Simulations demonstrated that our new MLE approach outperformed an MLE approach that does not account for sensor position uncertainty. Root-mean-square (RMS) estimation errors for target localization were close to the Cramer-Rao lower bound (CRLB).
Radio and Wireless Symposium (RWS), 2012 IEEE
Date of Conference: 15-18 Jan. 2012