{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/5276"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/5276","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"DSSS detection and direction finding methods for a DSP-based small aperture DF system","abstract":"This dissertation discusses an investigation into methods for detection and direction finding of direct-sequence spread-spectrum signals (DSSS), appropriate for a particular DSP-based direction finding platform. Relevant details on DSSS and radio direction finding are presented. These are used as the theorectical basis for the developemtn of a software-bases simulator fo the direction finding platform, which in turn is used to develop and investigate various algorithms. The algorithms included use a least-squares model-based approach. The results of experiments run on simulated data indicate that this approach has merit for the automated detection and direction finding of DSSS signals. the least-squares algorithm applied to a single capture of power-spectrum data is shown to perform comparably with human experts.","abstract_html":"This dissertation discusses an investigation into methods for detection and direction finding of direct-sequence spread-spectrum signals (DSSS), appropriate for a particular DSP-based direction finding platform. Relevant details on DSSS and radio direction finding are presented. These are used as the theorectical basis for the developemtn of a software-bases simulator fo the direction finding platform, which in turn is used to develop and investigate various algorithms. The algorithms included use a least-squares model-based approach. The results of experiments run on simulated data indicate that this approach has merit for the automated detection and direction finding of DSSS signals. the least-squares algorithm applied to a single capture of power-spectrum data is shown to perform comparably with human experts.","abstract_has_math":false,"creators":["Durrett, David"],"institution":"Department of Electrical Engineering","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Wilkinson, Andrew John"],"committee_chairs":[],"committee_members":[],"year":2005,"date_issued":"2005","date_published":"2005","updated_at":"2026-07-22T22:23:23Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/5276","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Wilkinson, Andrew John"]},{"key":"dc:creator","label":"Author","values":["Durrett, David"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-07-31T11:01:58Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-07-31T11:01:58Z"]},{"key":"dc:date.issued","label":"Date","values":["2005"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Electrical Engineering"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MSc"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/5276"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Includes bibliographical references (leaves 77-79)."]},{"key":"dc:description.abstract","label":"Abstract","values":["This dissertation discusses an investigation into methods for detection and direction finding of direct-sequence spread-spectrum signals (DSSS), appropriate for a particular DSP-based direction finding platform. Relevant details on DSSS and radio direction finding are presented. These are used as the theorectical basis for the developemtn of a software-bases simulator fo the direction finding platform, which in turn is used to develop and investigate various algorithms. The algorithms included use a least-squares model-based approach. The results of experiments run on simulated data indicate that this approach has merit for the automated detection and direction finding of DSSS signals. the least-squares algorithm applied to a single capture of power-spectrum data is shown to perform comparably with human experts."]},{"key":"dc:title","label":"Title","values":["DSSS detection and direction finding methods for a DSP-based small aperture DF system"]}]}],"canonical_facts":{"dc:contributor.advisor":["Wilkinson, Andrew John"],"dc:creator":["Durrett, David"],"dc:date.accessioned":["2014-07-31T11:01:58Z"],"dc:date.available":["2014-07-31T11:01:58Z"],"dc:date.issued":["2005"],"dc:description":["Includes bibliographical references (leaves 77-79)."],"dc:description.abstract":["This dissertation discusses an investigation into methods for detection and direction finding of direct-sequence spread-spectrum signals (DSSS), appropriate for a particular DSP-based direction finding platform. Relevant details on DSSS and radio direction finding are presented. These are used as the theorectical basis for the developemtn of a software-bases simulator fo the direction finding platform, which in turn is used to develop and investigate various algorithms. The algorithms included use a least-squares model-based approach. The results of experiments run on simulated data indicate that this approach has merit for the automated detection and direction finding of DSSS signals. the least-squares algorithm applied to a single capture of power-spectrum data is shown to perform comparably with human experts."],"dc:identifier.uri":["http://hdl.handle.net/11427/5276"],"dc:language.iso":["eng"],"dc:publisher.department":["Department of Electrical Engineering"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["DSSS detection and direction finding methods for a DSP-based small aperture DF system"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MSc"]},"updated_at":"2026-07-22T22:23:23Z"}