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Sequence estimation in the presence of interference via the expectation-maximization algorithm
| dc.creator | Zhang, Quan G | |
| dc.date.accessioned | 2012-06-07T22:47:35Z | |
| dc.date.available | 2012-06-07T22:47:35Z | |
| dc.date.created | 1996 | |
| dc.date.issued | 1996 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1996-THESIS-Z416 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references: p. 47-49. | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | In this thesis, we developed a method for obtaining near-optimal sequence estimates in the presence of interference for direct sequence spread spectrum communication using the Expectation-Maximization (EM) algorithm. We assume binary phase shift keying (BPSK) signaling in the presence of additive white Gaussian noise (AWGN) and single tone interference. The algorithm developed here is shown to have a complexity that grows linearly as a function of sequence length. We investigate the system performance in terms of bit error rate (BER) for single tone interference with both random phase and amplitude. We compare the algorithm with the suboptimal approach of using a digital transversal filter as a notch filter. Finally we present simulation results and draw conclusions. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | electrical engineering. | en |
| dc.subject | Major electrical engineering. | en |
| dc.title | Sequence estimation in the presence of interference via the expectation-maximization algorithm | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | electrical engineering | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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