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http://hdl.handle.net/10603/422571
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Novel channel modeling and receiver design for ultra wideband communication systems | |
dc.date.accessioned | 2022-12-08T06:41:31Z | - |
dc.date.available | 2022-12-08T06:41:31Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/422571 | - |
dc.description.abstract | Ultra Wide Band (UWB) communications systems operate with low newlinetransmit power and very high bandwidth in the unlicensed 3.1-10.6 GHz band. These newlinesystems offer short range and high data rate connectivity between the transmitter newlineand the receiver deployed in power constrained applications such as wireless sensor newlinenetworks, wireless personal area networks and wireless body area networks. To newlineachieve reliable communications in such power constrained applications, design of newlinelow complexity and robust high performance receivers is indispensable. The design of newlinea receiver with such attributes hinges on the knowledge and accurate characterization newlineof the channel model. To this end, this thesis presents the proposed work in two newlinephases. The first phase develops the characterization of the UWB channel and the newlinesecond phase involves the design of the UWB receiver. newlineIn the first phase of the dissertation, characterization of the UWB channel newlineis carried out in two parts. The first part presents the proposal of a novel statistical newlinechannel model based on empirical data for enhanced prediction of received signal newlinepower in UWB propagation channels. The novelty of the empirical channel newlinemodel is ascribed to the introduction of two new features: i) waveguide effect newlineparameter, describing the complex wave guiding nature of the channel and ii) distance newlinedependency of the parameters, to reflect the changes in the propagation environment newlinewith distance. Comparative performance evaluation of the proposed empirical newlinechannel model with the contemporary IEEE 802.15.4a channel models is presented newlineby applying these models to four independent sets of actual channel measurement newlinedata. Prediction results of the channel models about the channel measurement data newlineclearly exhibit the substantial advantage of the proposed modeling technique. The newlinesignificance of the proposed model manifests in creating new possibilities for robust newlinereceiver design for UWB channels. newline | |
dc.format.extent | xv,142p. | |
dc.language | English | |
dc.relation | p.135-141 | |
dc.rights | university | |
dc.title | Novel channel modeling and receiver design for ultra wideband communication systems | |
dc.title.alternative | ||
dc.creator.researcher | Mohamed Ershadh, S | |
dc.subject.keyword | Novel Channel | |
dc.subject.keyword | Receiver Design | |
dc.subject.keyword | Communication Systems | |
dc.description.note | ||
dc.contributor.guide | Meenakshi, M | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 44.91 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.58 MB | Adobe PDF | View/Open | |
03_content.pdf | 95.32 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 48.23 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 533.27 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 1.52 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 393.18 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 258.71 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 525.4 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 65.33 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 47.03 kB | Adobe PDF | View/Open |
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