Date Available
3-11-2013
Year of Publication
2013
Document Type
Master's Thesis
Degree Name
Master of Electrical Engineering (MEE)
College
Engineering
Department/School/Program
Electrical Engineering
Advisor
Dr. Laurence G. Hassebrook
Abstract
Binary Sensor Networks are widely used in target tracking and target parameter estimation. It is more computationally and financially efficient than surveillance camera systems. According to the sensing area, binary sensors are divided into disk shaped sensors and line segmented sensors. Different mathematical methods of target trajectory estimation and characterization are applied. In this thesis, we present a mathematical model of target tracking including parameter estimation (size, intrusion velocity, trajectory, etc.) with line segmented sensor networks. Software simulation and hardware experiments are built based on the model. And we further analyze how the quantization noise affects the results.
Recommended Citation
Liu, Mengmei, "Target Tracking with Binary Sensor Networks" (2013). Theses and Dissertations--Electrical and Computer Engineering. 14.
https://uknowledge.uky.edu/ece_etds/14
