{"id":{"repo_id":"nps","oai_identifier":"oai:calhoun.nps.edu:10945/23946"},"canonical_url":"https://search.dev.ndltd.org/etd/nps/oai:calhoun.nps.edu:10945/23946","repository":{"repo_id":"nps","name":"Naval Postgraduate School","base_url":"https://calhoun.nps.edu/server/oai/request"},"display":{"title":"Localization of acoustic transients in shallow water environments","abstract":"Determination of an underwater target's position using passive acoustic sensors is of considerable use for the Navy, both for Anti-submarine warfare (ASW) and underwater surveillance. This thesis proposes and develops localization algorithms capable of passively determining the location of a transient source given some broad constraints. In particular, this thesis investigates the effect of the source signal uncertainty on localizer performance. The localization process consists of two parts. First, a time domain propagation modeling code determines the impulse response of the environment from all possible source location to a single hydrophone. This program predicts the signal as it would appear at the receiver from a grid of possible source locations. Second, source localization results from finding the maximum correlation between the positionally dependent, numerical modeled signals and the actual received signal. The position of the maximum cross correlations reveals an estimate of source position. Using model to model correlation, this techniques successfully localized acoustic sources in both Monterey Bay and Barents Sea scenarios.","abstract_html":"Determination of an underwater target's position using passive acoustic sensors is of considerable use for the Navy, both for Anti-submarine warfare (ASW) and underwater surveillance. This thesis proposes and develops localization algorithms capable of passively determining the location of a transient source given some broad constraints. In particular, this thesis investigates the effect of the source signal uncertainty on localizer performance. The localization process consists of two parts. First, a time domain propagation modeling code determines the impulse response of the environment from all possible source location to a single hydrophone. This program predicts the signal as it would appear at the receiver from a grid of possible source locations. Second, source localization results from finding the maximum correlation between the positionally dependent, numerical modeled signals and the actual received signal. The position of the maximum cross correlations reveals an estimate of source position. Using model to model correlation, this techniques successfully localized acoustic sources in both Monterey Bay and Barents Sea scenarios.","abstract_has_math":false,"creators":["Nicholson, Charles Louis"],"institution":"Monterey, CA; Naval Postgraduate School","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":"Department of Electrical and Computer Engineering","school":null,"contributors":[],"advisors":["Miller, James H.","Chiu, Ching-Sang"],"committee_chairs":[],"committee_members":[],"year":1992,"date_issued":"1992-12","date_published":"1992-12","updated_at":"2026-07-27T20:27:01Z","subjects":[],"languages":["en_US"],"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/10945/23946","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Miller, James H.","Chiu, Ching-Sang"]},{"key":"dc:contributor.department","label":"Department","values":["Department of Electrical and Computer Engineering"]},{"key":"dc:creator","label":"Author","values":["Nicholson, Charles Louis"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["December 1992"]},{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2012-11-29T16:18:37Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2012-11-29T16:18:37Z"]},{"key":"dc:date.issued","label":"Date","values":["1992-12"]},{"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:language.iso","label":"Language (ISO)","values":["en_US"]},{"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. Copyright protection is not available for this work in the United States."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://hdl.handle.net/10945/23946"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Determination of an underwater target's position using passive acoustic sensors is of considerable use for the Navy, both for Anti-submarine warfare (ASW) and underwater surveillance. This thesis proposes and develops localization algorithms capable of passively determining the location of a transient source given some broad constraints. In particular, this thesis investigates the effect of the source signal uncertainty on localizer performance. The localization process consists of two parts. First, a time domain propagation modeling code determines the impulse response of the environment from all possible source location to a single hydrophone. This program predicts the signal as it would appear at the receiver from a grid of possible source locations. Second, source localization results from finding the maximum correlation between the positionally dependent, numerical modeled signals and the actual received signal. The position of the maximum cross correlations reveals an estimate of source position. 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In particular, this thesis investigates the effect of the source signal uncertainty on localizer performance. The localization process consists of two parts. First, a time domain propagation modeling code determines the impulse response of the environment from all possible source location to a single hydrophone. This program predicts the signal as it would appear at the receiver from a grid of possible source locations. Second, source localization results from finding the maximum correlation between the positionally dependent, numerical modeled signals and the actual received signal. The position of the maximum cross correlations reveals an estimate of source position. 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