K-distribution fading models for Bayesian estimation of an underwater acoustic channel
Thesis (S.M. in Electrical Engineering and Computer Science)--Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and the Woods Hole Oceanographic Institution), 2011.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1721.1/63080 |
| _version_ | 1811090595329867776 |
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| author | Laferriere, Alison Beth |
| author2 | James C. Preisig. |
| author_facet | James C. Preisig. Laferriere, Alison Beth |
| author_sort | Laferriere, Alison Beth |
| collection | MIT |
| description | Thesis (S.M. in Electrical Engineering and Computer Science)--Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and the Woods Hole Oceanographic Institution), 2011. |
| first_indexed | 2024-09-23T14:48:42Z |
| format | Thesis |
| id | mit-1721.1/63080 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:48:42Z |
| publishDate | 2011 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/630802022-01-13T21:48:41Z K-distribution fading models for Bayesian estimation of an underwater acoustic channel Laferriere, Alison Beth James C. Preisig. Woods Hole Oceanographic Institution. Joint Program in Applied Ocean Physics and Engineering Woods Hole Oceanographic Institution Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Joint Program in Applied Ocean Science and Engineering. Electrical Engineering and Computer Science. Woods Hole Oceanographic Institution. Underwater acoustics Computer simulation Sound Speed Measurement Thesis (S.M. in Electrical Engineering and Computer Science)--Joint Program in Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and the Woods Hole Oceanographic Institution), 2011. Cataloged from PDF version of thesis. Includes bibliographical references (p. 113-114). Current underwater acoustic channel estimation techniques generally apply linear MMSE estimation. This approach is optimal in a mean square error sense under the assumption that the impulse response fluctuations are well characterized by Gaussian statistics, leading to a Rayleigh distributed envelope. However, the envelope statistics of the underwater acoustic communication channel are often better modeled by the K-distribution. In this thesis, by presenting and analyzing field data to support this claim, I demonstrate the need to investigate channel estimation algorithms that exploit K-distributed fading statistics. The impact that environmental conditions and system parameters have on the resulting distribution are analyzed. In doing so, the shape parameter of the K-distribution is found to be correlated with the source-to-receiver distance, bandwidth, and wave height. Next, simulations of the scattering behavior are carried out in order to gain insight into the physical mechanism that cause these statistics to arise. Finally, MAP and MMSE based algorithms are derived assuming K-distributed fading models. The implementation of these estimation algorithms on simulated data demonstrates an improvement in performance over linear MMSE estimation. by Alison Beth Laferriere. S.M.in Electrical Engineering and Computer Science 2011-05-23T18:14:26Z 2011-05-23T18:14:26Z 2011 2011 Thesis http://hdl.handle.net/1721.1/63080 725923791 eng 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 114 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Joint Program in Applied Ocean Science and Engineering. Electrical Engineering and Computer Science. Woods Hole Oceanographic Institution. Underwater acoustics Computer simulation Sound Speed Measurement Laferriere, Alison Beth K-distribution fading models for Bayesian estimation of an underwater acoustic channel |
| title | K-distribution fading models for Bayesian estimation of an underwater acoustic channel |
| title_full | K-distribution fading models for Bayesian estimation of an underwater acoustic channel |
| title_fullStr | K-distribution fading models for Bayesian estimation of an underwater acoustic channel |
| title_full_unstemmed | K-distribution fading models for Bayesian estimation of an underwater acoustic channel |
| title_short | K-distribution fading models for Bayesian estimation of an underwater acoustic channel |
| title_sort | k distribution fading models for bayesian estimation of an underwater acoustic channel |
| topic | Joint Program in Applied Ocean Science and Engineering. Electrical Engineering and Computer Science. Woods Hole Oceanographic Institution. Underwater acoustics Computer simulation Sound Speed Measurement |
| url | http://hdl.handle.net/1721.1/63080 |
| work_keys_str_mv | AT laferrierealisonbeth kdistributionfadingmodelsforbayesianestimationofanunderwateracousticchannel |