Constant gain tracker with variable frame time
A three-parameter constant-gain recursive filter is augmented by a residual-dependent frame time algorithm that automatically increases sampling rates when a target maneuvers. Computer simulations show that tracking performance is essentially independent of the particular target trajectory. It is fo...
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| Veröffentlicht in: | IEEE transactions on aerospace and electronic systems 1988-07, Vol.24 (4), p.322-336, Article 322 |
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| container_title | IEEE transactions on aerospace and electronic systems |
| container_volume | 24 |
| creator | Gardner, L.A. Mullen, R.J. |
| description | A three-parameter constant-gain recursive filter is augmented by a residual-dependent frame time algorithm that automatically increases sampling rates when a target maneuvers. Computer simulations show that tracking performance is essentially independent of the particular target trajectory. It is found that radial distance errors remain effectively constant over different trajectories. It is the number of observations dictated by the adaptive frame time algorithm that is trajectory-dependent. The filter equations along with the frame time adjustment algorithm are first described, and a comparison made with a similar procedure. Examples given use the nonlinear observations generated by a passive sensor system.< > |
| doi_str_mv | 10.1109/7.7173 |
| format | Article |
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Computer simulations show that tracking performance is essentially independent of the particular target trajectory. It is found that radial distance errors remain effectively constant over different trajectories. It is the number of observations dictated by the adaptive frame time algorithm that is trajectory-dependent. The filter equations along with the frame time adjustment algorithm are first described, and a comparison made with a similar procedure. 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Computer simulations show that tracking performance is essentially independent of the particular target trajectory. It is found that radial distance errors remain effectively constant over different trajectories. It is the number of observations dictated by the adaptive frame time algorithm that is trajectory-dependent. The filter equations along with the frame time adjustment algorithm are first described, and a comparison made with a similar procedure. Examples given use the nonlinear observations generated by a passive sensor system.< ></description><subject>Algorithm design and analysis</subject><subject>Applied sciences</subject><subject>Computer simulation</subject><subject>Exact sciences and technology</subject><subject>Filters</subject><subject>Gain measurement</subject><subject>Nonlinear equations</subject><subject>Radiolocalization and radionavigation</subject><subject>Sampling methods</subject><subject>Sensor systems</subject><subject>Target tracking</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Time measurement</subject><subject>Trajectory</subject><issn>0018-9251</issn><issn>1557-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1988</creationdate><recordtype>article</recordtype><recordid>eNqNkMtKAzEUQIMoWKuuXc5CXDk172SWMviCghtdD2nmRqPzqEmq-PfO0GJBF7oKlxwO9x6EjgmeEYKLCzVTRLEdNCFCqLyQmO2iCcZE5wUVZB8dxPgyjFxzNkGzsu9iMl3KnozvshSMfYWQffj0nL2b4M2igcwF00KWfAuHaM-ZJsLR5p2ix-urh_I2n9_f3JWX89wyiVMuWbGoscIaK2qpVUxS7LhRUAvhGPCaFAsLQBzHQtaaD8s5SzlVzNGaUMKm6GztXYb-bQUxVa2PFprGdNCvYkW11gRz9Q-QkoJz-TfINSkE5VvQhj7GAK5aBt-a8FkRXI2BK1WNgQfwdGM00ZpmiNRZH79phaXEYjzl_IfP-mSS77shtm9-W0_WuAeArWz8-gI-lY3W</recordid><startdate>19880701</startdate><enddate>19880701</enddate><creator>Gardner, L.A.</creator><creator>Mullen, R.J.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7SP</scope><scope>7TB</scope><scope>FR3</scope></search><sort><creationdate>19880701</creationdate><title>Constant gain tracker with variable frame time</title><author>Gardner, L.A. ; Mullen, R.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-639bd0708072c2c73620f4a7ed55f3e4d19bcee1f4056d84018fc24273f2d1213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1988</creationdate><topic>Algorithm design and analysis</topic><topic>Applied sciences</topic><topic>Computer simulation</topic><topic>Exact sciences and technology</topic><topic>Filters</topic><topic>Gain measurement</topic><topic>Nonlinear equations</topic><topic>Radiolocalization and radionavigation</topic><topic>Sampling methods</topic><topic>Sensor systems</topic><topic>Target tracking</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Time measurement</topic><topic>Trajectory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gardner, L.A.</creatorcontrib><creatorcontrib>Mullen, R.J.</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_linktorsrc</fulltext></delivery><addata><au>Gardner, L.A.</au><au>Mullen, R.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Constant gain tracker with variable frame time</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>1988-07-01</date><risdate>1988</risdate><volume>24</volume><issue>4</issue><spage>322</spage><epage>336</epage><pages>322-336</pages><artnum>322</artnum><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>A three-parameter constant-gain recursive filter is augmented by a residual-dependent frame time algorithm that automatically increases sampling rates when a target maneuvers. Computer simulations show that tracking performance is essentially independent of the particular target trajectory. It is found that radial distance errors remain effectively constant over different trajectories. It is the number of observations dictated by the adaptive frame time algorithm that is trajectory-dependent. The filter equations along with the frame time adjustment algorithm are first described, and a comparison made with a similar procedure. Examples given use the nonlinear observations generated by a passive sensor system.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/7.7173</doi><tpages>15</tpages></addata></record> |
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| identifier | ISSN: 0018-9251 |
| ispartof | IEEE transactions on aerospace and electronic systems, 1988-07, Vol.24 (4), p.322-336, Article 322 |
| issn | 0018-9251 1557-9603 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_7_7173 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithm design and analysis Applied sciences Computer simulation Exact sciences and technology Filters Gain measurement Nonlinear equations Radiolocalization and radionavigation Sampling methods Sensor systems Target tracking Telecommunications Telecommunications and information theory Time measurement Trajectory |
| title | Constant gain tracker with variable frame time |
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