The generalized Kalman filter approach to adaptive underwater target tracking
The generalized Kalman filtering (GKF) method is applied to underwater target tracking. The proposed GKF is based on the formulation developed by J.C. Lagarias and F. Aminzadeh (1983) establishing a tradeoff between the cost associated with estimation error and the cost related to the lateral discon...
Gespeichert in:
Veröffentlicht in: | IEEE journal of oceanic engineering 1992-01, Vol.17 (1), p.129-137 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 137 |
---|---|
container_issue | 1 |
container_start_page | 129 |
container_title | IEEE journal of oceanic engineering |
container_volume | 17 |
creator | El-Hawary, F. Aminzadeh, F. Mbamalu, G.A.N. |
description | The generalized Kalman filtering (GKF) method is applied to underwater target tracking. The proposed GKF is based on the formulation developed by J.C. Lagarias and F. Aminzadeh (1983) establishing a tradeoff between the cost associated with estimation error and the cost related to the lateral discontinuity of the estimates. By assigning proper weights for accuracy and stability in the objective function, the desired balance between accuracy of estimates and lateral continuity is achieved. Computational results illustrate the performance of the technique. Conclusions as to the effects of the accuracy and stability weights are drawn.< > |
doi_str_mv | 10.1109/48.126961 |
format | Article |
fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_miscellaneous_28673881</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>126961</ieee_id><sourcerecordid>16200697</sourcerecordid><originalsourceid>FETCH-LOGICAL-c399t-82e98dd4a59643a9196fe27277acdf4b93ef0312f487e8eee42c41b081dd64f23</originalsourceid><addsrcrecordid>eNqNkT1PwzAQhi0EEqUwsDJlQEgMKT7HcewRVXyJIpYyR1fn3AbSJNgpCH49rVLBWKYb7rlHd_cydgp8BMDNldQjEMoo2GMDSFMdgzKwzwY8UTI2PDWH7CiEV85ByswM2NN0QdGcavJYld9URI9YLbGOXFl15CNsW9-gXURdE2GBbVd-ULSqC_KfuOl36OfURZ1H-1bW82N24LAKdLKtQ_ZyezMd38eT57uH8fUktokxXawFGV0UElOjZIIGjHIkMpFlaAsnZyYhxxMQTuqMNBFJYSXMuIaiUNKJZMgueu96u_cVhS5flsFSVWFNzSrkwkglUoDdoFZZovU_wFSbREu1EwQlOFcmW4OXPWh9E4Inl7e-XKL_yoHnm6xyqfM-qzV7vpVisFg5j7Utw-9AupFmm7PPeqxc_-RP1zt-AO_-msM</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>16200697</pqid></control><display><type>article</type><title>The generalized Kalman filter approach to adaptive underwater target tracking</title><source>IEEE Electronic Library (IEL)</source><creator>El-Hawary, F. ; Aminzadeh, F. ; Mbamalu, G.A.N.</creator><creatorcontrib>El-Hawary, F. ; Aminzadeh, F. ; Mbamalu, G.A.N.</creatorcontrib><description>The generalized Kalman filtering (GKF) method is applied to underwater target tracking. The proposed GKF is based on the formulation developed by J.C. Lagarias and F. Aminzadeh (1983) establishing a tradeoff between the cost associated with estimation error and the cost related to the lateral discontinuity of the estimates. By assigning proper weights for accuracy and stability in the objective function, the desired balance between accuracy of estimates and lateral continuity is achieved. Computational results illustrate the performance of the technique. Conclusions as to the effects of the accuracy and stability weights are drawn.< ></description><identifier>ISSN: 0364-9059</identifier><identifier>EISSN: 1558-1691</identifier><identifier>DOI: 10.1109/48.126961</identifier><identifier>CODEN: IJOEDY</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Acoustic applications ; Acoustic emission ; acoustic models ; Acoustics ; Costs ; Delay effects ; Exact sciences and technology ; Filtering ; Fundamental areas of phenomenology (including applications) ; Kalman filters ; Marine ; Physics ; Signal processing ; Stability ; Target tracking ; tracking ; Underwater acoustics ; underwater object location ; Underwater sound</subject><ispartof>IEEE journal of oceanic engineering, 1992-01, Vol.17 (1), p.129-137</ispartof><rights>1992 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-82e98dd4a59643a9196fe27277acdf4b93ef0312f487e8eee42c41b081dd64f23</citedby><cites>FETCH-LOGICAL-c399t-82e98dd4a59643a9196fe27277acdf4b93ef0312f487e8eee42c41b081dd64f23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/126961$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,4024,27923,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/126961$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=5162072$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>El-Hawary, F.</creatorcontrib><creatorcontrib>Aminzadeh, F.</creatorcontrib><creatorcontrib>Mbamalu, G.A.N.</creatorcontrib><title>The generalized Kalman filter approach to adaptive underwater target tracking</title><title>IEEE journal of oceanic engineering</title><addtitle>JOE</addtitle><description>The generalized Kalman filtering (GKF) method is applied to underwater target tracking. The proposed GKF is based on the formulation developed by J.C. Lagarias and F. Aminzadeh (1983) establishing a tradeoff between the cost associated with estimation error and the cost related to the lateral discontinuity of the estimates. By assigning proper weights for accuracy and stability in the objective function, the desired balance between accuracy of estimates and lateral continuity is achieved. Computational results illustrate the performance of the technique. Conclusions as to the effects of the accuracy and stability weights are drawn.< ></description><subject>Acoustic applications</subject><subject>Acoustic emission</subject><subject>acoustic models</subject><subject>Acoustics</subject><subject>Costs</subject><subject>Delay effects</subject><subject>Exact sciences and technology</subject><subject>Filtering</subject><subject>Fundamental areas of phenomenology (including applications)</subject><subject>Kalman filters</subject><subject>Marine</subject><subject>Physics</subject><subject>Signal processing</subject><subject>Stability</subject><subject>Target tracking</subject><subject>tracking</subject><subject>Underwater acoustics</subject><subject>underwater object location</subject><subject>Underwater sound</subject><issn>0364-9059</issn><issn>1558-1691</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1992</creationdate><recordtype>article</recordtype><recordid>eNqNkT1PwzAQhi0EEqUwsDJlQEgMKT7HcewRVXyJIpYyR1fn3AbSJNgpCH49rVLBWKYb7rlHd_cydgp8BMDNldQjEMoo2GMDSFMdgzKwzwY8UTI2PDWH7CiEV85ByswM2NN0QdGcavJYld9URI9YLbGOXFl15CNsW9-gXURdE2GBbVd-ULSqC_KfuOl36OfURZ1H-1bW82N24LAKdLKtQ_ZyezMd38eT57uH8fUktokxXawFGV0UElOjZIIGjHIkMpFlaAsnZyYhxxMQTuqMNBFJYSXMuIaiUNKJZMgueu96u_cVhS5flsFSVWFNzSrkwkglUoDdoFZZovU_wFSbREu1EwQlOFcmW4OXPWh9E4Inl7e-XKL_yoHnm6xyqfM-qzV7vpVisFg5j7Utw-9AupFmm7PPeqxc_-RP1zt-AO_-msM</recordid><startdate>199201</startdate><enddate>199201</enddate><creator>El-Hawary, F.</creator><creator>Aminzadeh, F.</creator><creator>Mbamalu, G.A.N.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TN</scope><scope>F1W</scope><scope>H96</scope><scope>L.G</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>FR3</scope><scope>KR7</scope><scope>H8D</scope></search><sort><creationdate>199201</creationdate><title>The generalized Kalman filter approach to adaptive underwater target tracking</title><author>El-Hawary, F. ; Aminzadeh, F. ; Mbamalu, G.A.N.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-82e98dd4a59643a9196fe27277acdf4b93ef0312f487e8eee42c41b081dd64f23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Acoustic applications</topic><topic>Acoustic emission</topic><topic>acoustic models</topic><topic>Acoustics</topic><topic>Costs</topic><topic>Delay effects</topic><topic>Exact sciences and technology</topic><topic>Filtering</topic><topic>Fundamental areas of phenomenology (including applications)</topic><topic>Kalman filters</topic><topic>Marine</topic><topic>Physics</topic><topic>Signal processing</topic><topic>Stability</topic><topic>Target tracking</topic><topic>tracking</topic><topic>Underwater acoustics</topic><topic>underwater object location</topic><topic>Underwater sound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>El-Hawary, F.</creatorcontrib><creatorcontrib>Aminzadeh, F.</creatorcontrib><creatorcontrib>Mbamalu, G.A.N.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Aerospace Database</collection><jtitle>IEEE journal of oceanic engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>El-Hawary, F.</au><au>Aminzadeh, F.</au><au>Mbamalu, G.A.N.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The generalized Kalman filter approach to adaptive underwater target tracking</atitle><jtitle>IEEE journal of oceanic engineering</jtitle><stitle>JOE</stitle><date>1992-01</date><risdate>1992</risdate><volume>17</volume><issue>1</issue><spage>129</spage><epage>137</epage><pages>129-137</pages><issn>0364-9059</issn><eissn>1558-1691</eissn><coden>IJOEDY</coden><abstract>The generalized Kalman filtering (GKF) method is applied to underwater target tracking. The proposed GKF is based on the formulation developed by J.C. Lagarias and F. Aminzadeh (1983) establishing a tradeoff between the cost associated with estimation error and the cost related to the lateral discontinuity of the estimates. By assigning proper weights for accuracy and stability in the objective function, the desired balance between accuracy of estimates and lateral continuity is achieved. Computational results illustrate the performance of the technique. Conclusions as to the effects of the accuracy and stability weights are drawn.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/48.126961</doi><tpages>9</tpages></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 0364-9059 |
ispartof | IEEE journal of oceanic engineering, 1992-01, Vol.17 (1), p.129-137 |
issn | 0364-9059 1558-1691 |
language | eng |
recordid | cdi_proquest_miscellaneous_28673881 |
source | IEEE Electronic Library (IEL) |
subjects | Acoustic applications Acoustic emission acoustic models Acoustics Costs Delay effects Exact sciences and technology Filtering Fundamental areas of phenomenology (including applications) Kalman filters Marine Physics Signal processing Stability Target tracking tracking Underwater acoustics underwater object location Underwater sound |
title | The generalized Kalman filter approach to adaptive underwater target tracking |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T08%3A06%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20generalized%20Kalman%20filter%20approach%20to%20adaptive%20underwater%20target%20tracking&rft.jtitle=IEEE%20journal%20of%20oceanic%20engineering&rft.au=El-Hawary,%20F.&rft.date=1992-01&rft.volume=17&rft.issue=1&rft.spage=129&rft.epage=137&rft.pages=129-137&rft.issn=0364-9059&rft.eissn=1558-1691&rft.coden=IJOEDY&rft_id=info:doi/10.1109/48.126961&rft_dat=%3Cproquest_RIE%3E16200697%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=16200697&rft_id=info:pmid/&rft_ieee_id=126961&rfr_iscdi=true |