Master of Science
Chase Qishi Wu
Target detection is one of the fundamental problems in sensor network-basedapplications. We propose a generic grid-based target detection solution, referred to asGridTD, which integrates data fusion and sensor deployment for the detection of a singlestatic or moving target. GridTD determines a sensor deployment scheme based on clusteranalysis, and divides the deployed sensors into several subsets, for each of which, a gridmap of the entire region is constructed to estimate the target location using a statisticalanalysis method under a certain signal attenuation model. A final detection decision ismade according to the clustering degree of the estimated target locations from all thesensor subsets. GridTD has potential to achieve a satisfactory performance through aglobal optimization strategy. Simulation results show the performance superiority of theproposed solution over several well-known methods for target detection.
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Yu, Hanwen, "On a Grid-based Solution to Target Detection Through Sensor Deployment and Data Fusion" (2015). Electronic Theses and Dissertations. 1143.