Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Acceleration of parasitic multistatic radar system using GPGPU

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...

Full description

Saved in:
Bibliographic Details
Main Author: John, Mathew
Other Authors: Inggs, Michael
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2015
Subjects:
Tags: Add Tag
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