Year of Publication

2013

Degree Name

Master of Electrical Engineering (MEE)

Document Type

Master's Thesis

College

Engineering

Department

Electrical Engineering

First 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.

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