{"id":{"repo_id":"uwo","oai_identifier":"oai:uwo.scholaris.ca:20.500.14721/38865"},"canonical_url":"https://search.dev.ndltd.org/etd/uwo/oai:uwo.scholaris.ca:20.500.14721/38865","repository":{"repo_id":"uwo","name":"Western University","base_url":"https://uwo.scholaris.ca/server/oai/request"},"display":{"title":"Multicarrier Wireless Systems with Adaptive Decision Combining","abstract":"Multicarrier Orthogonal Frequency Division Multiplexing (OFDM) systems with decision combining are considered in this thesis. It is shown that such systems can provide enhanced bit error rates. However, this occurs at the cost of data throughput of the system. The typical system considered essentially involves transmission of redundant data over subsets of the total number of subcarriers available for the entire system. The partial decisions in each of these subsets are then combined into overall decisions about the transmitted data. Simple decision combining strategies such as AND, OR, Majority Logic (ML) and more complex adaptive decision combining that takes into account the fading estimates over the subcarriers of the system are considered. Analytical expressions for estimation of bit error rates in such systems have been derived and parameters that influence the performance are identified. We consider several fading situations and assume an additive, white gaussian noise(AWGN) channel. Computer simulations of bit error rate performance for a variety of multicarrier OFDM systems with decision combining are presented and compared with the performance of systems without decision combining.","abstract_html":"Multicarrier Orthogonal Frequency Division Multiplexing (OFDM) systems with decision combining are considered in this thesis. It is shown that such systems can provide enhanced bit error rates. However, this occurs at the cost of data throughput of the system. The typical system considered essentially involves transmission of redundant data over subsets of the total number of subcarriers available for the entire system. The partial decisions in each of these subsets are then combined into overall decisions about the transmitted data. Simple decision combining strategies such as AND, OR, Majority Logic (ML) and more complex adaptive decision combining that takes into account the fading estimates over the subcarriers of the system are considered. Analytical expressions for estimation of bit error rates in such systems have been derived and parameters that influence the performance are identified. We consider several fading situations and assume an additive, white gaussian noise(AWGN) channel. Computer simulations of bit error rate performance for a variety of multicarrier OFDM systems with decision combining are presented and compared with the performance of systems without decision combining.","abstract_has_math":false,"creators":["Geevarghese, Rexy J."],"institution":"The University of Western Ontario","degree_name":"M Eng Sci","degree_level":null,"degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":[],"advisors":["Rao, R.K."],"committee_chairs":[],"committee_members":[],"year":2003,"date_issued":"2003","date_published":"2003","updated_at":"2026-07-27T21:55:58Z","subjects":["OFDM","BER","frequency diversity","decision combining","fading"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/20.500.14721/38865","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Rao, R.K."]},{"key":"dc:creator","label":"Author","values":["Geevarghese, Rexy J."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2025-10-06T18:15:08Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2025-10-06T18:15:08Z"]},{"key":"dc:date.issued","label":"Date","values":["2003"]},{"key":"dc:publisher","label":"Institution","values":["The University of Western Ontario"]},{"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":["M Eng Sci"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["The University of Western Ontario"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["OFDM","BER","frequency diversity","decision combining","fading"]}]},{"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/20.500.14721/38865"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Multicarrier Orthogonal Frequency Division Multiplexing (OFDM) systems with decision combining are considered in this thesis. It is shown that such systems can provide enhanced bit error rates. However, this occurs at the cost of data throughput of the system. The typical system considered essentially involves transmission of redundant data over subsets of the total number of subcarriers available for the entire system. The partial decisions in each of these subsets are then combined into overall decisions about the transmitted data. Simple decision combining strategies such as AND, OR, Majority Logic (ML) and more complex adaptive decision combining that takes into account the fading estimates over the subcarriers of the system are considered. Analytical expressions for estimation of bit error rates in such systems have been derived and parameters that influence the performance are identified. We consider several fading situations and assume an additive, white gaussian noise(AWGN) channel. Computer simulations of bit error rate performance for a variety of multicarrier OFDM systems with decision combining are presented and compared with the performance of systems without decision combining."]},{"key":"dc:title","label":"Title","values":["Multicarrier Wireless Systems with Adaptive Decision Combining"]}]}],"canonical_facts":{"dc:contributor.advisor":["Rao, R.K."],"dc:creator":["Geevarghese, Rexy J."],"dc:date.accessioned":["2025-10-06T18:15:08Z"],"dc:date.available":["2025-10-06T18:15:08Z"],"dc:date.issued":["2003"],"dc:description.abstract":["Multicarrier Orthogonal Frequency Division Multiplexing (OFDM) systems with decision combining are considered in this thesis. It is shown that such systems can provide enhanced bit error rates. However, this occurs at the cost of data throughput of the system. The typical system considered essentially involves transmission of redundant data over subsets of the total number of subcarriers available for the entire system. The partial decisions in each of these subsets are then combined into overall decisions about the transmitted data. Simple decision combining strategies such as AND, OR, Majority Logic (ML) and more complex adaptive decision combining that takes into account the fading estimates over the subcarriers of the system are considered. Analytical expressions for estimation of bit error rates in such systems have been derived and parameters that influence the performance are identified. We consider several fading situations and assume an additive, white gaussian noise(AWGN) channel. Computer simulations of bit error rate performance for a variety of multicarrier OFDM systems with decision combining are presented and compared with the performance of systems without decision combining."],"dc:identifier.uri":["https://hdl.handle.net/20.500.14721/38865"],"dc:language.iso":["en"],"dc:publisher":["The University of Western Ontario"],"dc:subject":["OFDM","BER","frequency diversity","decision combining","fading"],"dc:title":["Multicarrier Wireless Systems with Adaptive Decision Combining"],"dc:type":["Thesis"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_name":["M Eng Sci"],"thesis:institution_name":["The University of Western Ontario"]},"updated_at":"2026-07-27T21:55:58Z"}