Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/102324
Title: Optimal sensor pairing for TDOA based source localization and tracking in sensor networks
Authors: Meng, Wei
Xie, Lihua
Xiao, Wendong
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2012
Source: Meng, W., Xie, L., & Xiao, W. (2012). Optimal sensor pairing for TDOA based source localization and tracking in sensor networks. 2012 15th International Conference on Information Fusion (FUSION), 1897-1902.
Abstract: Source localization based on time-difference-of-arrival (TDOA) measurements from spatially separated sensors is an important problem in sensor networks. While extensive research has been performed on algorithm development, limited attention has been paid to sensor geometry design. In this paper, we study the optimal sensor pair geometry for the TDOA based source localization problem. Analytic solutions to the optimal sensor pair geometries, for both static and movable source cases, are derived when there exist no communication constraints. Furthermore, in many applications, sensor platforms such as unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) are movable, and their movements and the communications between sensors are constrained. The problem becomes how to optimize the trajectories for the moving platforms such that optimal source localization and tracking can be achieved. We extend our work to optimal sensor path planning and cast it as a constrained nonlinear optimization problem. The sequential quadratic programming (SQP) method is adopted for a solution. Computer simulations demonstrate good localization performance.
URI: https://hdl.handle.net/10356/102324
http://hdl.handle.net/10220/19838
Rights: © 2012 International Society of Information Fusion. This paper was published in 2012 15th International Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) with permission of International Society of Information Fusion. The paper can be found at the following official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290532. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
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