Airborne Plume Localization and Tracking

摘要：

In this paper we consider the problem of localization and tracking of an airborne instantaneous plume released from a point source using concentration measurements made by a network of sensors. Using the Gaussian plume model and stochastic modeling of the wind velocity, we formulate plume localization as a nonlinear least squares (LS) problem. We then propose an efficient method for its solution via explicit linear LS formulas rather than by using computationally involved numerical methods.In addition, the uncertainty regarding the diffusion coefficients is modeled using a multiple model (MM)method. Results from a simulation study conducted with realistic plume propagation in a homogeneous wind field demonstrate the feasibility and efficiency of the proposed linear LS solution. Significant improvement is achieved through the use of multiple model method.

关键词： Gaussian plume localization tracking least squares

作者: Trang Nguyen X.Rong Li Vesselin P.Jilkov Huimin Chen Nageswara S.Rao

作者单位: Department of Electrical Engineering University of New Orleans 2000 Lakeshore Drive, New Orleans, LA Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge, TN 37831, U.S.A.

会议类型: 国际会议

会议名称: The International Colloquium on Onformation Fusion 2007(2007年国际信息融合研讨会)

会议地点: 西安

会议语种:英文

页码: 37-44

在线出版日期: 2007-08-22（万方平台首次上网日期，不代表论文的发表时间）