A new adaptive displaced phase centre antenna processor
Employing the principle of displaced phase centre antenna (DPCA) and the model of autoregressive (AR) processing, we construct an optimal adaptive DPCA processor for moving target detection in airborne phased array radar data collected under non-DPCA conditions. The proposed processor is fundamental...
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creator | Yunhan Dong |
description | Employing the principle of displaced phase centre antenna (DPCA) and the model of autoregressive (AR) processing, we construct an optimal adaptive DPCA processor for moving target detection in airborne phased array radar data collected under non-DPCA conditions. The proposed processor is fundamentally different from the existing ADPCA which is not optimal. The number of range samples needed to estimate its parameters is only approximately twice the number of antenna elements, significantly less than the number required by the conventional space-time adaptive processing (STAP) and other algorithms. Computationally it only requires 5-10% the cost of STAP. The processor has been tested using both simulated and measured airborne phased array radar data. With ample samples, its performance approaches optimum. In the case of a reduced number of samples, it considerably outperforms STAP and the other algorithms examined. |
doi_str_mv | 10.1109/RADAR.2008.4653944 |
format | Conference Proceeding |
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The proposed processor is fundamentally different from the existing ADPCA which is not optimal. The number of range samples needed to estimate its parameters is only approximately twice the number of antenna elements, significantly less than the number required by the conventional space-time adaptive processing (STAP) and other algorithms. Computationally it only requires 5-10% the cost of STAP. The processor has been tested using both simulated and measured airborne phased array radar data. With ample samples, its performance approaches optimum. 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The proposed processor is fundamentally different from the existing ADPCA which is not optimal. The number of range samples needed to estimate its parameters is only approximately twice the number of antenna elements, significantly less than the number required by the conventional space-time adaptive processing (STAP) and other algorithms. Computationally it only requires 5-10% the cost of STAP. The processor has been tested using both simulated and measured airborne phased array radar data. With ample samples, its performance approaches optimum. In the case of a reduced number of samples, it considerably outperforms STAP and the other algorithms examined.</description><subject>Arrays</subject><subject>Artificial neural networks</subject><subject>Clutter</subject><subject>Covariance matrix</subject><subject>Doppler effect</subject><subject>Radar</subject><subject>Radar antennas</subject><issn>1097-5764</issn><issn>2640-7736</issn><isbn>9781424423217</isbn><isbn>142442321X</isbn><isbn>1424423228</isbn><isbn>9781424423224</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMtqwzAQRdVHoHaaH2g3-gG7I2nskZYmfUKgELIPsjymLqljLNPSv69L09VdHDgcrhA3CnKlwN1tq_tqm2sAm2NZGId4JlKFGlEbre25SHSJkBGZ8kKsHNl_puhSJLOBsoJKXIj01-FghnQl0hjfAYAsYSKokj1_Sd_4Yeo-WTZdHA4-cCOHNx9ZBu6nkaXvJ-57L4fxGDjG43gtFq0_RF6ddil2jw-79XO2eX16WVebrHMwzWWtUsyq1tCCNnVBUJStZUNemeCVb5ShWgeLAIzWNcGBR1aONTpXBLMUt3_ajpn3w9h9-PF7fzrD_ABwU0vM</recordid><startdate>200809</startdate><enddate>200809</enddate><creator>Yunhan Dong</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200809</creationdate><title>A new adaptive displaced phase centre antenna processor</title><author>Yunhan Dong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-77f11ee1b20f023b57056f8e37a13ca1ad137b2c8400e489dc90a4e19e24995c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Arrays</topic><topic>Artificial neural networks</topic><topic>Clutter</topic><topic>Covariance matrix</topic><topic>Doppler effect</topic><topic>Radar</topic><topic>Radar antennas</topic><toplevel>online_resources</toplevel><creatorcontrib>Yunhan Dong</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yunhan Dong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A new adaptive displaced phase centre antenna processor</atitle><btitle>2008 International Conference on Radar</btitle><stitle>RADAR</stitle><date>2008-09</date><risdate>2008</risdate><spage>343</spage><epage>348</epage><pages>343-348</pages><issn>1097-5764</issn><eissn>2640-7736</eissn><isbn>9781424423217</isbn><isbn>142442321X</isbn><eisbn>1424423228</eisbn><eisbn>9781424423224</eisbn><abstract>Employing the principle of displaced phase centre antenna (DPCA) and the model of autoregressive (AR) processing, we construct an optimal adaptive DPCA processor for moving target detection in airborne phased array radar data collected under non-DPCA conditions. The proposed processor is fundamentally different from the existing ADPCA which is not optimal. The number of range samples needed to estimate its parameters is only approximately twice the number of antenna elements, significantly less than the number required by the conventional space-time adaptive processing (STAP) and other algorithms. Computationally it only requires 5-10% the cost of STAP. The processor has been tested using both simulated and measured airborne phased array radar data. With ample samples, its performance approaches optimum. In the case of a reduced number of samples, it considerably outperforms STAP and the other algorithms examined.</abstract><pub>IEEE</pub><doi>10.1109/RADAR.2008.4653944</doi><tpages>6</tpages></addata></record> |
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subjects | Arrays Artificial neural networks Clutter Covariance matrix Doppler effect Radar Radar antennas |
title | A new adaptive displaced phase centre antenna processor |
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