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Accelerating Gauss-Newton filters on FPGA's
Includes bibliographical references (leaves 123-128).
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
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| _version_ | 1867613968489512960 |
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| access_status_str | Open Access |
| author | Da Conceicao, Jean-Paul Costa |
| author2 | Inggs, Michael |
| author_browse | Da Conceicao, Jean-Paul Costa Inggs, Michael |
| author_facet | Inggs, Michael Da Conceicao, Jean-Paul Costa |
| author_sort | Da Conceicao, Jean-Paul Costa |
| collection | Thesis |
| description | Includes bibliographical references (leaves 123-128). |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/10329 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:44:34.710Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/10329 Accelerating Gauss-Newton filters on FPGA's Da Conceicao, Jean-Paul Costa Inggs, Michael Electrical Engineering Includes bibliographical references (leaves 123-128). Radar tracking filters are generally computationally expensive, involving the manipulation of large matrices and deeply nested loops. In addition, they must generally work in real-time to be of any use. The now-common Kalman Filter was developed in the 1960's specifically for the purposes of lowering its computational burden, so that it could be implemented using the limited computational resources of the time. However, with the exponential increases in computing power since then, it is now possible to reconsider more heavy-weight, robust algorithms such as the original nonrecursive Gauss-Newton filter on which the Kalman filter is based. This dissertation investigates the acceleration of such a filter using FPGA technology, making use of custom, reduced-precision number formats. 2014-12-28T14:40:54Z 2014-12-28T14:40:54Z 2010 Master Thesis Masters MSc http://hdl.handle.net/11427/10329 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Da Conceicao, Jean-Paul Costa Accelerating Gauss-Newton filters on FPGA's |
| thesis_degree_str | Master's |
| title | Accelerating Gauss-Newton filters on FPGA's |
| title_full | Accelerating Gauss-Newton filters on FPGA's |
| title_fullStr | Accelerating Gauss-Newton filters on FPGA's |
| title_full_unstemmed | Accelerating Gauss-Newton filters on FPGA's |
| title_short | Accelerating Gauss-Newton filters on FPGA's |
| title_sort | accelerating gauss newton filters on fpga s |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/10329 |
| work_keys_str_mv | AT daconceicaojeanpaulcosta acceleratinggaussnewtonfiltersonfpgas |