{"id":{"repo_id":"unm","oai_identifier":"oai:digitalrepository.unm.edu:ece_etds-1053"},"canonical_url":"https://search.dev.ndltd.org/etd/unm/oai:digitalrepository.unm.edu:ece_etds-1053","repository":{"repo_id":"unm","name":"University of New Mexico","base_url":"https://digitalrepository.unm.edu/do/oai/"},"display":{"title":"Randomly Spaced Smart Antennas","abstract":"The goal of this thesis is to develop adaptive array' features out of randomly spaced antenna elements. Most optimization techniques that have been presented so far for non-equidistant antenna arrays have been restricted to the analysis of symmetric or linear geometries. Several direction of arrival (DOA) and adaptive beamforming al- gorithms are implemented and analyzed for both linear and planar randomly spaced antenna configurations; such as Capon and MUSIC for direction of arrival, and LMS, normalized LMS, leaky LMS, generalized normalized LMS, RLS and variable forget- ting factor RLS algorithms for the adaptive beamforming. The advantages and disadvantages of smart antennas based on random array con- figuration are presented and discussed. Several algorithms have been investigated to study the most suitable ones for optimizing the distribution of the excitation coe- cients. The work discussed herein can be extended to space applications using a cluster of small satellites, UAVs, or any array of sensors that are not aligned together in a standard linear or planar geometrical configuration. Furthermore, the proposed approach can also be extended to standard, two-dimensional linear arrays when one or more elements fail.'","abstract_html":"The goal of this thesis is to develop adaptive array' features out of randomly spaced antenna elements. Most optimization techniques that have been presented so far for non-equidistant antenna arrays have been restricted to the analysis of symmetric or linear geometries. Several direction of arrival (DOA) and adaptive beamforming al- gorithms are implemented and analyzed for both linear and planar randomly spaced antenna configurations; such as Capon and MUSIC for direction of arrival, and LMS, normalized LMS, leaky LMS, generalized normalized LMS, RLS and variable forget- ting factor RLS algorithms for the adaptive beamforming. The advantages and disadvantages of smart antennas based on random array con- figuration are presented and discussed. Several algorithms have been investigated to study the most suitable ones for optimizing the distribution of the excitation coe- cients. The work discussed herein can be extended to space applications using a cluster of small satellites, UAVs, or any array of sensors that are not aligned together in a standard linear or planar geometrical configuration. Furthermore, the proposed approach can also be extended to standard, two-dimensional linear arrays when one or more elements fail.'","abstract_has_math":false,"creators":["Ciaurriz Velasco, Maialen"],"institution":null,"degree_name":"Electrical Engineering","degree_level":"Thesis","degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":["Christodoulou, Christos","Martinez Ramón, Manel","Peng, Zhen"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-02-14T08:00:00Z","date_published":"2014-02-14T08:00:00Z","updated_at":"2026-07-24T05:27:10Z","subjects":["Random","Smart Antennas"],"languages":["English"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://digitalrepository.unm.edu/ece_etds/54","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Christodoulou, Christos","Martinez Ramón, Manel","Peng, Zhen"]},{"key":"dc:creator","label":"Author","values":["Ciaurriz Velasco, Maialen"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis","Masters"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Electrical Engineering"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Random","Smart Antennas"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://digitalrepository.unm.edu/ece_etds/54"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The goal of this thesis is to develop adaptive array' features out of randomly spaced antenna elements. Most optimization techniques that have been presented so far for non-equidistant antenna arrays have been restricted to the analysis of symmetric or linear geometries. Several direction of arrival (DOA) and adaptive beamforming al- gorithms are implemented and analyzed for both linear and planar randomly spaced antenna configurations; such as Capon and MUSIC for direction of arrival, and LMS, normalized LMS, leaky LMS, generalized normalized LMS, RLS and variable forget- ting factor RLS algorithms for the adaptive beamforming. The advantages and disadvantages of smart antennas based on random array con- figuration are presented and discussed. Several algorithms have been investigated to study the most suitable ones for optimizing the distribution of the excitation coe- cients. The work discussed herein can be extended to space applications using a cluster of small satellites, UAVs, or any array of sensors that are not aligned together in a standard linear or planar geometrical configuration. Furthermore, the proposed approach can also be extended to standard, two-dimensional linear arrays when one or more elements fail.'"]},{"key":"dc:title","label":"Title","values":["Randomly Spaced Smart Antennas"]}]}],"canonical_facts":{"dc:contributor":["Christodoulou, Christos","Martinez Ramón, Manel","Peng, Zhen"],"dc:creator":["Ciaurriz Velasco, Maialen"],"dc:description.abstract":["The goal of this thesis is to develop adaptive array' features out of randomly spaced antenna elements. Most optimization techniques that have been presented so far for non-equidistant antenna arrays have been restricted to the analysis of symmetric or linear geometries. Several direction of arrival (DOA) and adaptive beamforming al- gorithms are implemented and analyzed for both linear and planar randomly spaced antenna configurations; such as Capon and MUSIC for direction of arrival, and LMS, normalized LMS, leaky LMS, generalized normalized LMS, RLS and variable forget- ting factor RLS algorithms for the adaptive beamforming. The advantages and disadvantages of smart antennas based on random array con- figuration are presented and discussed. Several algorithms have been investigated to study the most suitable ones for optimizing the distribution of the excitation coe- cients. The work discussed herein can be extended to space applications using a cluster of small satellites, UAVs, or any array of sensors that are not aligned together in a standard linear or planar geometrical configuration. Furthermore, the proposed approach can also be extended to standard, two-dimensional linear arrays when one or more elements fail.'"],"dc:identifier":["https://digitalrepository.unm.edu/ece_etds/54"],"dc:language":["English"],"dc:subject":["Random","Smart Antennas"],"dc:title":["Randomly Spaced Smart Antennas"],"thesis:degree_discipline":["Electrical and Computer Engineering"],"thesis:degree_level":["Thesis","Masters"],"thesis:degree_name":["Electrical Engineering"]},"updated_at":"2026-07-24T05:27:10Z"}