{"id":{"repo_id":"uoit","oai_identifier":"oai:ontariotechu.scholaris.ca:10155/529"},"canonical_url":"https://search.dev.ndltd.org/etd/uoit/oai:ontariotechu.scholaris.ca:10155/529","repository":{"repo_id":"uoit","name":"Ontario Institute of Technology","base_url":"https://ontariotechu.scholaris.ca/server/oai/request"},"display":{"title":"Spectrum sensing based on capon power spectral density estimation","abstract":"Cognitive radio (CR) technology has evolved to solve the spectrum scarcity problem and improve spectrum utilization. Spectrum sensing is a CR function that allows secondary users to efficiently utilize the spectrum without interfering with primary users. The performance of this function depends on the efficiency of the used detection method. In this thesis, we propose a spectrum sensing based on the Capon Power Spectral Density (PSD) estimation method. The proposed method estimates the received PSD, and uses it to identify free and busy channels. A cooperative spectrum sensing approach is also introduced. The goal is to solve the common hidden node problem and help devices without CR capability to identify free channels. Experimental results show that the proposed method outperforms the spectrum sensing based on the Periodogram method in detecting both busy and free channels. In addition, simulation results show that the cooperative approach improves the spectrum sensing function.","abstract_html":"Cognitive radio (CR) technology has evolved to solve the spectrum scarcity problem and improve spectrum utilization. Spectrum sensing is a CR function that allows secondary users to efficiently utilize the spectrum without interfering with primary users. The performance of this function depends on the efficiency of the used detection method. In this thesis, we propose a spectrum sensing based on the Capon Power Spectral Density (PSD) estimation method. The proposed method estimates the received PSD, and uses it to identify free and busy channels. A cooperative spectrum sensing approach is also introduced. The goal is to solve the common hidden node problem and help devices without CR capability to identify free channels. Experimental results show that the proposed method outperforms the spectrum sensing based on the Periodogram method in detecting both busy and free channels. In addition, simulation results show that the cooperative approach improves the spectrum sensing function.","abstract_has_math":false,"creators":["Mohammed, Ola Ashour"],"institution":"University of Ontario Institute of Technology","degree_name":"Master of Applied Science (MASc)","degree_level":null,"degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["El-Khatib, Khalil","Vargas Martin, Miguel"],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-04-01","date_published":"2015-04-01","updated_at":"2026-07-24T05:35:26Z","subjects":["Spectrum holes","Cognitive radio","Spectrum sensing"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10155/529","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["El-Khatib, Khalil","Vargas Martin, Miguel"]},{"key":"dc:creator","label":"Author","values":["Mohammed, Ola Ashour"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2015-05-27T15:35:27Z","2022-03-25T19:03:13Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2015-05-27T15:35:27Z","2022-03-25T19:03:13Z"]},{"key":"dc:date.issued","label":"Date","values":["2015-04-01"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Applied Science (MASc)"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Ontario Institute of Technology"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Spectrum holes","Cognitive radio","Spectrum sensing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10155/529"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Cognitive radio (CR) technology has evolved to solve the spectrum scarcity problem and improve spectrum utilization. Spectrum sensing is a CR function that allows secondary users to efficiently utilize the spectrum without interfering with primary users. The performance of this function depends on the efficiency of the used detection method. In this thesis, we propose a spectrum sensing based on the Capon Power Spectral Density (PSD) estimation method. The proposed method estimates the received PSD, and uses it to identify free and busy channels. A cooperative spectrum sensing approach is also introduced. The goal is to solve the common hidden node problem and help devices without CR capability to identify free channels. Experimental results show that the proposed method outperforms the spectrum sensing based on the Periodogram method in detecting both busy and free channels. In addition, simulation results show that the cooperative approach improves the spectrum sensing function."]},{"key":"dc:title","label":"Title","values":["Spectrum sensing based on capon power spectral density estimation"]}]}],"canonical_facts":{"dc:contributor.advisor":["El-Khatib, Khalil","Vargas Martin, Miguel"],"dc:creator":["Mohammed, Ola Ashour"],"dc:date.accessioned":["2015-05-27T15:35:27Z","2022-03-25T19:03:13Z"],"dc:date.available":["2015-05-27T15:35:27Z","2022-03-25T19:03:13Z"],"dc:date.issued":["2015-04-01"],"dc:description.abstract":["Cognitive radio (CR) technology has evolved to solve the spectrum scarcity problem and improve spectrum utilization. Spectrum sensing is a CR function that allows secondary users to efficiently utilize the spectrum without interfering with primary users. The performance of this function depends on the efficiency of the used detection method. In this thesis, we propose a spectrum sensing based on the Capon Power Spectral Density (PSD) estimation method. The proposed method estimates the received PSD, and uses it to identify free and busy channels. A cooperative spectrum sensing approach is also introduced. The goal is to solve the common hidden node problem and help devices without CR capability to identify free channels. Experimental results show that the proposed method outperforms the spectrum sensing based on the Periodogram method in detecting both busy and free channels. In addition, simulation results show that the cooperative approach improves the spectrum sensing function."],"dc:identifier.uri":["https://hdl.handle.net/10155/529"],"dc:language.iso":["en"],"dc:subject":["Spectrum holes","Cognitive radio","Spectrum sensing"],"dc:title":["Spectrum sensing based on capon power spectral density estimation"],"dc:type":["Thesis"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_name":["Master of Applied Science (MASc)"],"thesis:institution_name":["University of Ontario Institute of Technology"]},"updated_at":"2026-07-24T05:35:26Z"}