Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
This dissertation details the implementation of PMR [Parasitic Multistatic Radar] signal processing chain in the GPGPU [General Purpose Graphic Processing Units] platform. The primary objective of the project is to accelerate the signal processing chain without compromising the algorithm efficiency...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2015
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613330722521088 |
|---|---|
| access_status_str | Open Access |
| author | John, Mathew |
| author2 | Inggs, Michael |
| author_browse | Inggs, Michael John, Mathew |
| author_facet | Inggs, Michael John, Mathew |
| author_sort | John, Mathew |
| collection | Thesis |
| description | This dissertation details the implementation of PMR [Parasitic Multistatic Radar] signal processing chain in the GPGPU [General Purpose Graphic Processing Units] platform. The primary objective of the project is to accelerate the signal processing chain without compromising the algorithm efficiency and to prove that GPGPUs are a promising platform for parasitic radar signal processing. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11322 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:25.395Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| 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:11427/11322 Acceleration of parasitic multistatic radar system using GPGPU John, Mathew Inggs, Michael Electrical Engineering This dissertation details the implementation of PMR [Parasitic Multistatic Radar] signal processing chain in the GPGPU [General Purpose Graphic Processing Units] platform. The primary objective of the project is to accelerate the signal processing chain without compromising the algorithm efficiency and to prove that GPGPUs are a promising platform for parasitic radar signal processing. 2015-01-05T06:37:56Z 2015-01-05T06:37:56Z 2011 Master Thesis Masters MSc http://hdl.handle.net/11427/11322 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering John, Mathew Acceleration of parasitic multistatic radar system using GPGPU |
| thesis_degree_str | Master's |
| title | Acceleration of parasitic multistatic radar system using GPGPU |
| title_full | Acceleration of parasitic multistatic radar system using GPGPU |
| title_fullStr | Acceleration of parasitic multistatic radar system using GPGPU |
| title_full_unstemmed | Acceleration of parasitic multistatic radar system using GPGPU |
| title_short | Acceleration of parasitic multistatic radar system using GPGPU |
| title_sort | acceleration of parasitic multistatic radar system using gpgpu |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/11322 |
| work_keys_str_mv | AT johnmathew accelerationofparasiticmultistaticradarsystemusinggpgpu |