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Suboptimal filter design with pseudomeasurements for target tracking
A suboptimal Kalman filter design method is presented for the problem of tracking a maneuvering target. The design method is essentially based on linear target dynamics and linear-like structured measurements called pseudomeasurements. The pseudomeasurements are obtained by manipulating the original...
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Published in: | IEEE transactions on aerospace and electronic systems 1988-01, Vol.24 (1), p.28-39 |
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container_title | IEEE transactions on aerospace and electronic systems |
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creator | Song, T.L. Ahn, J.Y. Park, C. |
description | A suboptimal Kalman filter design method is presented for the problem of tracking a maneuvering target. The design method is essentially based on linear target dynamics and linear-like structured measurements called pseudomeasurements. The pseudomeasurements are obtained by manipulating the original nonlinear measurements algebraically. The resulting filter has computational advantages over other filters with similar performance. Also, a variant of the Berg model is proposed as a target acceleration model under the assumption of a coordinated turn maneuver. The proposed model is consistent with the underlying assumption. Monte Carlo computer simulation results are included to demonstrate the effectiveness of the proposed suboptimal filter associated with the target acceleration model.< > |
doi_str_mv | 10.1109/7.1033 |
format | article |
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The design method is essentially based on linear target dynamics and linear-like structured measurements called pseudomeasurements. The pseudomeasurements are obtained by manipulating the original nonlinear measurements algebraically. The resulting filter has computational advantages over other filters with similar performance. Also, a variant of the Berg model is proposed as a target acceleration model under the assumption of a coordinated turn maneuver. The proposed model is consistent with the underlying assumption. Monte Carlo computer simulation results are included to demonstrate the effectiveness of the proposed suboptimal filter associated with the target acceleration model.< ></description><identifier>ISSN: 0018-9251</identifier><identifier>EISSN: 1557-9603</identifier><identifier>DOI: 10.1109/7.1033</identifier><identifier>CODEN: IEARAX</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Acceleration ; Aerodynamics ; Applied sciences ; Control systems ; Coordinate measuring machines ; Design methodology ; Electric, optical and optoelectronic circuits ; Electronics ; Exact sciences and technology ; Fires ; Kalman filters ; Radar measurements ; Radar tracking ; Target tracking ; Theoretical study. 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The design method is essentially based on linear target dynamics and linear-like structured measurements called pseudomeasurements. The pseudomeasurements are obtained by manipulating the original nonlinear measurements algebraically. The resulting filter has computational advantages over other filters with similar performance. Also, a variant of the Berg model is proposed as a target acceleration model under the assumption of a coordinated turn maneuver. The proposed model is consistent with the underlying assumption. Monte Carlo computer simulation results are included to demonstrate the effectiveness of the proposed suboptimal filter associated with the target acceleration model.< ></description><subject>Acceleration</subject><subject>Aerodynamics</subject><subject>Applied sciences</subject><subject>Control systems</subject><subject>Coordinate measuring machines</subject><subject>Design methodology</subject><subject>Electric, optical and optoelectronic circuits</subject><subject>Electronics</subject><subject>Exact sciences and technology</subject><subject>Fires</subject><subject>Kalman filters</subject><subject>Radar measurements</subject><subject>Radar tracking</subject><subject>Target tracking</subject><subject>Theoretical study. 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Circuits analysis and design</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Song, T.L.</creatorcontrib><creatorcontrib>Ahn, J.Y.</creatorcontrib><creatorcontrib>Park, C.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on aerospace and electronic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Song, T.L.</au><au>Ahn, J.Y.</au><au>Park, C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Suboptimal filter design with pseudomeasurements for target tracking</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>1988-01</date><risdate>1988</risdate><volume>24</volume><issue>1</issue><spage>28</spage><epage>39</epage><pages>28-39</pages><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>A suboptimal Kalman filter design method is presented for the problem of tracking a maneuvering target. The design method is essentially based on linear target dynamics and linear-like structured measurements called pseudomeasurements. The pseudomeasurements are obtained by manipulating the original nonlinear measurements algebraically. The resulting filter has computational advantages over other filters with similar performance. Also, a variant of the Berg model is proposed as a target acceleration model under the assumption of a coordinated turn maneuver. The proposed model is consistent with the underlying assumption. Monte Carlo computer simulation results are included to demonstrate the effectiveness of the proposed suboptimal filter associated with the target acceleration model.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/7.1033</doi><tpages>12</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Journals |
subjects | Acceleration Aerodynamics Applied sciences Control systems Coordinate measuring machines Design methodology Electric, optical and optoelectronic circuits Electronics Exact sciences and technology Fires Kalman filters Radar measurements Radar tracking Target tracking Theoretical study. Circuits analysis and design |
title | Suboptimal filter design with pseudomeasurements for target tracking |
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