{"id":{"repo_id":"nps","oai_identifier":"oai:calhoun.nps.edu:10945/66889"},"canonical_url":"https://search.dev.ndltd.org/etd/nps/oai:calhoun.nps.edu:10945/66889","repository":{"repo_id":"nps","name":"Naval Postgraduate School","base_url":"https://calhoun.nps.edu/server/oai/request"},"display":{"title":"Two-Sensor Synthetic Aperture Geolocation Techniques","abstract":"Geolocation technology with the ability to locate an unknown beacon signal in three-dimensional space has been engrafted into numerous modern electronic systems. Indeed, the marketplace is anxious for more accurate and more accessible geolocation data. A primary limiting factor of the growth of geolocation systems is the stringent physical resource requirements needed for existing geolocation algorithms. Popular geolocation algorithms measure the time-of-arrival, time-difference-of-arrival, and frequency-difference-of-arrival of an incoming beacon signal from an unknown emitter at a given time. For these techniques, accurate solutions require a minimum of three airborne sensors; if available, a fourth sensor often significantly improves the accuracy. This resource requirement is excessive; we aim to relax it to two airborne sensors by applying a synthetic aperture technique. By fusing together data from multiple subsequent time samples, one can boost the overall resolution of the geolocation estimate. We propose using a series of geolocation measurements collected between two sensors according to a synthetic aperture model. System performance dependence on sensor velocity and aperture size is assessed. Additionally, a brief treatment of noise tolerance and estimation theory is given. Lastly, the overall feasibility of a synthetic-aperture-based geolocation algorithm is summarily addressed.","abstract_html":"Geolocation technology with the ability to locate an unknown beacon signal in three-dimensional space has been engrafted into numerous modern electronic systems. Indeed, the marketplace is anxious for more accurate and more accessible geolocation data. A primary limiting factor of the growth of geolocation systems is the stringent physical resource requirements needed for existing geolocation algorithms. Popular geolocation algorithms measure the time-of-arrival, time-difference-of-arrival, and frequency-difference-of-arrival of an incoming beacon signal from an unknown emitter at a given time. For these techniques, accurate solutions require a minimum of three airborne sensors; if available, a fourth sensor often significantly improves the accuracy. This resource requirement is excessive; we aim to relax it to two airborne sensors by applying a synthetic aperture technique. By fusing together data from multiple subsequent time samples, one can boost the overall resolution of the geolocation estimate. We propose using a series of geolocation measurements collected between two sensors according to a synthetic aperture model. System performance dependence on sensor velocity and aperture size is assessed. Additionally, a brief treatment of noise tolerance and estimation theory is given. Lastly, the overall feasibility of a synthetic-aperture-based geolocation algorithm is summarily addressed.","abstract_has_math":false,"creators":["Elam, Kyle A."],"institution":"Monterey, CA; Naval Postgraduate School","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Electrical and Computer Engineering (ECE)","school":null,"contributors":[],"advisors":["Su, Weilian"],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-06","date_published":"2014-06","updated_at":"2026-07-27T20:24:23Z","subjects":[],"languages":[],"rights":["This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/10945/66889","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Su, Weilian"]},{"key":"dc:contributor.department","label":"Department","values":["Electrical and Computer Engineering (ECE)"]},{"key":"dc:creator","label":"Author","values":["Elam, Kyle A."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2021-04-06T17:01:35Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2021-04-06T17:01:35Z"]},{"key":"dc:date.issued","label":"Date","values":["2014-06"]},{"key":"dc:publisher","label":"Institution","values":["Monterey, CA; Naval Postgraduate School"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. 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For these techniques, accurate solutions require a minimum of three airborne sensors; if available, a fourth sensor often significantly improves the accuracy. This resource requirement is excessive; we aim to relax it to two airborne sensors by applying a synthetic aperture technique. By fusing together data from multiple subsequent time samples, one can boost the overall resolution of the geolocation estimate. We propose using a series of geolocation measurements collected between two sensors according to a synthetic aperture model. System performance dependence on sensor velocity and aperture size is assessed. Additionally, a brief treatment of noise tolerance and estimation theory is given. Lastly, the overall feasibility of a synthetic-aperture-based geolocation algorithm is summarily addressed."]},{"key":"dc:title","label":"Title","values":["Two-Sensor Synthetic Aperture Geolocation Techniques"]}]}],"canonical_facts":{"dc:contributor.advisor":["Su, Weilian"],"dc:contributor.department":["Electrical and Computer Engineering (ECE)"],"dc:creator":["Elam, Kyle A."],"dc:date.accessioned":["2021-04-06T17:01:35Z"],"dc:date.available":["2021-04-06T17:01:35Z"],"dc:date.issued":["2014-06"],"dc:description.abstract":["Geolocation technology with the ability to locate an unknown beacon signal in three-dimensional space has been engrafted into numerous modern electronic systems. Indeed, the marketplace is anxious for more accurate and more accessible geolocation data. A primary limiting factor of the growth of geolocation systems is the stringent physical resource requirements needed for existing geolocation algorithms. Popular geolocation algorithms measure the time-of-arrival, time-difference-of-arrival, and frequency-difference-of-arrival of an incoming beacon signal from an unknown emitter at a given time. For these techniques, accurate solutions require a minimum of three airborne sensors; if available, a fourth sensor often significantly improves the accuracy. This resource requirement is excessive; we aim to relax it to two airborne sensors by applying a synthetic aperture technique. By fusing together data from multiple subsequent time samples, one can boost the overall resolution of the geolocation estimate. We propose using a series of geolocation measurements collected between two sensors according to a synthetic aperture model. System performance dependence on sensor velocity and aperture size is assessed. Additionally, a brief treatment of noise tolerance and estimation theory is given. Lastly, the overall feasibility of a synthetic-aperture-based geolocation algorithm is summarily addressed."],"dc:identifier.uri":["https://hdl.handle.net/10945/66889"],"dc:publisher":["Monterey, CA; Naval Postgraduate School"],"dc:rights":["This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States."],"dc:title":["Two-Sensor Synthetic Aperture Geolocation Techniques"],"dc:type":["Thesis"]},"updated_at":"2026-07-27T20:24:23Z"}