On adaptive MIMO space-time processing
-д хадгалсан:
| -д хэвлэсэн: | ProQuest Dissertations and Theses (2005) |
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| Үндсэн зохиолч: | |
| Хэвлэсэн: |
ProQuest Dissertations & Theses
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| Нөхцлүүд: | |
| Онлайн хандалт: | Citation/Abstract Full Text - PDF |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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MARC
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|---|---|---|---|
| 001 | 305403734 | ||
| 003 | UK-CbPIL | ||
| 020 | |a 978-0-494-19415-7 | ||
| 035 | |a 305403734 | ||
| 045 | 0 | |b d20050101 | |
| 084 | |a 66569 |2 nlm | ||
| 100 | 1 | |a Lee, Jason R. | |
| 245 | 1 | |a On adaptive MIMO space-time processing | |
| 260 | |b ProQuest Dissertations & Theses |c 2005 | ||
| 513 | |a Dissertation/Thesis | ||
| 520 | 3 | |a In this thesis, we develop a novel adaptive MIMO space-time processing method which adapts to changes in the wireless environment for the maximization of wireless link performance. First, we develop a fully simulated MIMO wireless environment in Matlab ® to facilitate algorithm development and performance benchmarking. Second, we develop the theory supporting an adaptive MIMO layered space-time processing method called adaptive BLAST (A-BLAST). Thirdly, known non-adaptive diversity and spatial multiplexing layered space-time processing techniques are implemented and benchmarked under simulated MIMO channels using two element, four element, and eight element antenna arrays respectively. Fourth, we implement and benchmark an A-BLAST approach under equivalent simulated MIMO channels. Finally, simulation results are provided which demonstrate a performance improvement using A-BLAST over the non-adaptive benchmarks. The main contributions of this thesis include the creation of a highly parameterized MIMO simulation environment in Matlab®, as well as, the development of a novel A-BLAST layered spacetime processing algorithm complemented with adaptation based on reference BER data obtained under MIMO channels of varying spatial rank using the developed simulation environment. The A-BLAST code structure developed provides additional space-time codeword mappings not previously defined through traditional non-adaptive BLAST methods. These additional codeword mappings are shown to provide more granular control over the relative weighting of spatial multiplexing gain and diversity order and are better suited to a broader range of MIMO channel environments. Using estimates of the MIMO channel spatial rank and receive signal-to-noise ratio, combined with a residual bit error rate threshold, the developed adaptation algorithm is shown to be able to automatically select an A-BLAST codeword mapping from the available A-BLAST codeword set, improving MIMO link performance when compared with non-adaptive BLAST techniques which are optimized for the spatial multiplexing and diversity encoding respectively. | |
| 653 | |a Electrical engineering | ||
| 773 | 0 | |t ProQuest Dissertations and Theses |g (2005) | |
| 786 | 0 | |d ProQuest |t ProQuest Dissertations & Theses Global | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/305403734/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/305403734/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |