2026-09-19T03:03:19Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/335922022-01-13T07:54:39Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Henrik Schmidt and Arthur B. Baggeroer.
Wang, Ding, Ph. D. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Ocean Engineering
2006-07-31T15:15:22Z
2006-07-31T15:15:22Z
2005
2005
http://hdl.handle.net/1721.1/33592
63762346
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (leaves 170-171).
Adaptive Rapid Environmental Assessment (AREA) is a new concept for minimizing the non model-based sonar performance prediction uncertainty and improving the model-based sonar performance by adaptive and rapid in situ measurement in the ocean environment. In this thesis, a possible structure of the AREA system has been developed; an AREA System Simulation Framework has been constructed using C++, which can simulate how AREA system will work and be utilized to determine the optimal or sub-optimal sampling strategies. A user's manual for the simulation framework, and specifications of all important C++ classes are included.
by Ding Wang.
S.M.
171 leaves
5545846 bytes
5553076 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
http://dspace.mit.edu/handle/1721.1/7582
Ocean Engineering.
Electrical Engineering and Computer Science.
Adaptive rapid environmental assessment system simulation framework
Thesis
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