Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Energy-Based Collaborative Source Localization Using Acoustic Microsensor Array | EURASIP Journal on Applied Signal Processing 2003 4 321-337 2003 Hindawi Publishing Corporation Energy-Based Collaborative Source Localization Using Acoustic Microsensor Array Dan Li Department of Electrical and Computer Engineering University of Wisconsin-Madison 1415 Engineering Drive Madison WI53706-1691 USA Email dli@ Yu Hen Hu Department of Electrical and Computer Engineering University of Wisconsin-Madison 1415 Engineering Drive Madison WI53706-1691 USA Email hu@ Received 9 January 2002 and in revised form 13 October 2002 A novel sensor network source localization method based on acoustic energy measurements is presented. This method makes use of the characteristics that the acoustic energy decays inversely with respect to the square of distance from the source. By comparing energy readings measured at surrounding acoustic sensors the source location during that time interval can be accurately estimated as the intersection of multiple hyperspheres. Theoretical bounds on the number of sensors required to yield unique solution are derived. Extensive simulations have been conducted to characterize the performance of this method under various parameter perturbations and noise conditions. Potential advantages of this approach include low intersensor communication requirement robustness with respect to parameter perturbations and measurement noise and low-complexity implementation. Keywords and phrases target localization source localization acoustic sensors collaborative signal processing energy-based sensor network. 1. INTRODUCTION Distributed networks of low-cost microsensors with signal processing and wireless communication capabilities have a variety of applications 1 2 . Examples include under water acoustics battlefield surveillance electronic warfare geophysics seismic remote sensing and environmental monitoring. Such sensor networks are often designed to perform tasks such as detection classification localization and tracking of .
