Accession Number : ADA305965
Title : An Entropic Framework for AUV Sensor Modelling.
Descriptive Note : Doctoral thesis,
Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE
Personal Author(s) : Singh, Hanumant
PDF Url : ADA305965
Report Date : JUN 1995
Pagination or Media Count : 138
Abstract : This thesis examines the general task of active sensing by defining a measure of efficiency for sensing in a particular environment. We focus on fine scale acoustic mapping from an autonomous underwater vehicle (AUV). The constraints on imaging underwater - vehicle power, vehicle hydrodynamics, computational and telemetry requirements, and typical navigational and attitudinal uncertainties along with the underlying physics of the acoustic sensing modality - are considered in defining an entropic measure of sensor efficiency. 675-kHz pencil-beam sonar data acquired using the JASON remotely operated vehicle in a challenging shallow water environment and 2OO-kHz echo-sounder data acquired using the ABE AUV are used to demonstrate the utility of the entropic framework. We show the utility of an entropic framework for the following: (i) Optimizing the speed of the AUV for maximizing the information gathered with a particular sensor. (ii) the rate of convergence and the stability of our mapping efforts in the face of typical uncertainties in navigation and attitude; (iii) as a methedology for actual sensor deployment and use on a real vehicle; and (iv) in tasks such as post mission analysis for applications such as change detection and path planning for subsequent missions.
Descriptors : *MAPPING, *UNDERWATER ACOUSTICS, *SONAR IMAGES, REQUIREMENTS, POWER LEVELS, COMPUTATIONS, MISSION PROFILES, EFFICIENCY, THESES, SHALLOW WATER, SCALE, ACOUSTIC MEASUREMENT, SELF OPERATION, AUTONOMOUS NAVIGATION, OCEAN ENVIRONMENTS, HYDRODYNAMICS, SUBMERSIBLES, TELEMETER SYSTEMS.
Subject Categories : Physical and Dynamic Oceanography
Acoustic Detection and Detectors
Distribution Statement : APPROVED FOR PUBLIC RELEASE