Radon-Fourier Transform for Radar Target Detection (II): Blind Speed Sidelobe Suppression
This paper gives a detailed performance analysis for the novel radar long-time coherent integration method, i.e., Radon-Fourier transforms (RFT). Some important properties of RFT, e.g., two-dimensional (2D) impulse response, 2D translational invariance, multitarget linear additivity, linear signal-t...
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| Veröffentlicht in: | IEEE transactions on aerospace and electronic systems 2011-10, Vol.47 (4), p.2473-2489 |
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| container_title | IEEE transactions on aerospace and electronic systems |
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| creator | Xu, Jia Yu, Ji Peng, Ying-Ning Xia, Xiang-Gen |
| description | This paper gives a detailed performance analysis for the novel radar long-time coherent integration method, i.e., Radon-Fourier transforms (RFT). Some important properties of RFT, e.g., two-dimensional (2D) impulse response, 2D translational invariance, multitarget linear additivity, linear signal-to-noise ratio gain in additive white Gaussian noise (AWGN), as well as the 2D correlation function of transformed AWGN, are derived for continuous and discrete RFT, respectively. However, because of discrete pulse sampling, finite range resolution, and limited integration time, the "blind-speed sidelobes (BSSL)" of discrete RFT may inevitably appear in real applications. Although the BSSL are reduced with the increase of the blind-speed integer, they may still lead to false alarms or loss detections in a real multitarget scenario. Based on the analytic expression derived for BSSL, the causes of BSSL are analyzed and the effective BSSL suppression methods are proposed. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods. |
| doi_str_mv | 10.1109/TAES.2011.6034645 |
| format | Article |
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Some important properties of RFT, e.g., two-dimensional (2D) impulse response, 2D translational invariance, multitarget linear additivity, linear signal-to-noise ratio gain in additive white Gaussian noise (AWGN), as well as the 2D correlation function of transformed AWGN, are derived for continuous and discrete RFT, respectively. However, because of discrete pulse sampling, finite range resolution, and limited integration time, the "blind-speed sidelobes (BSSL)" of discrete RFT may inevitably appear in real applications. Although the BSSL are reduced with the increase of the blind-speed integer, they may still lead to false alarms or loss detections in a real multitarget scenario. Based on the analytic expression derived for BSSL, the causes of BSSL are analyzed and the effective BSSL suppression methods are proposed. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods.</description><identifier>ISSN: 0018-9251</identifier><identifier>EISSN: 1557-9603</identifier><identifier>DOI: 10.1109/TAES.2011.6034645</identifier><identifier>CODEN: IEARAX</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>AWGN ; Doppler effect ; Exact solutions ; Fourier transforms ; Impulse response ; Mathematical analysis ; Mathematical models ; Object detection ; Performance evaluation ; Radar detection ; Sampling ; Sidelobes ; Signal to noise ratio ; Studies ; Transforms ; Two dimensional</subject><ispartof>IEEE transactions on aerospace and electronic systems, 2011-10, Vol.47 (4), p.2473-2489</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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Some important properties of RFT, e.g., two-dimensional (2D) impulse response, 2D translational invariance, multitarget linear additivity, linear signal-to-noise ratio gain in additive white Gaussian noise (AWGN), as well as the 2D correlation function of transformed AWGN, are derived for continuous and discrete RFT, respectively. However, because of discrete pulse sampling, finite range resolution, and limited integration time, the "blind-speed sidelobes (BSSL)" of discrete RFT may inevitably appear in real applications. Although the BSSL are reduced with the increase of the blind-speed integer, they may still lead to false alarms or loss detections in a real multitarget scenario. Based on the analytic expression derived for BSSL, the causes of BSSL are analyzed and the effective BSSL suppression methods are proposed. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods.</description><subject>AWGN</subject><subject>Doppler effect</subject><subject>Exact solutions</subject><subject>Fourier transforms</subject><subject>Impulse response</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Object detection</subject><subject>Performance evaluation</subject><subject>Radar detection</subject><subject>Sampling</subject><subject>Sidelobes</subject><subject>Signal to noise ratio</subject><subject>Studies</subject><subject>Transforms</subject><subject>Two dimensional</subject><issn>0018-9251</issn><issn>1557-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkE1PwzAMhiMEEmPwAxCXiAtw6GjafHIbY4NJk5DYOHCKstRFnbqmJO2Bf0-mDQ5cbNnvY8t-Ebok6YiQVN2vxtPlKEsJGfE0p5yyIzQgjIlExfoYDdKUyERljJyisxA2saSS5gP08WYK1yQz1_sKPF5504TS-S2OAUfNxJ7xn9DhJ-jAdpVr8O18fveAH-uqKfCyBYixKqB2a8DLvm09hBCxc3RSmjrAxSEP0ftsupq8JIvX5_lkvEhsrtIukbbMFAVgiooSbGbYmktFFRGsIFEoCyjztRUKBLGFzGguueGMq0woQTKbD9HNfm_r3VcPodPbKlioa9OA64NWPJeMUcEief2P3MS3m3iclopzJgQnESJ7yHoXgodSt77aGv-tSap3Vuud1XpntT5YHWeu9jMVAPzxv-oPGx94wQ</recordid><startdate>20111001</startdate><enddate>20111001</enddate><creator>Xu, Jia</creator><creator>Yu, Ji</creator><creator>Peng, Ying-Ning</creator><creator>Xia, Xiang-Gen</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope><scope>F28</scope></search><sort><creationdate>20111001</creationdate><title>Radon-Fourier Transform for Radar Target Detection (II): Blind Speed Sidelobe Suppression</title><author>Xu, Jia ; Yu, Ji ; Peng, Ying-Ning ; Xia, Xiang-Gen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-8cf294ee5947fec2a5b68949175d194efdef3bc79e71cd824386a6569279712c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>AWGN</topic><topic>Doppler effect</topic><topic>Exact solutions</topic><topic>Fourier transforms</topic><topic>Impulse response</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Object detection</topic><topic>Performance evaluation</topic><topic>Radar detection</topic><topic>Sampling</topic><topic>Sidelobes</topic><topic>Signal to noise ratio</topic><topic>Studies</topic><topic>Transforms</topic><topic>Two dimensional</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Jia</creatorcontrib><creatorcontrib>Yu, Ji</creatorcontrib><creatorcontrib>Peng, Ying-Ning</creatorcontrib><creatorcontrib>Xia, Xiang-Gen</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on aerospace and electronic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Xu, Jia</au><au>Yu, Ji</au><au>Peng, Ying-Ning</au><au>Xia, Xiang-Gen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Radon-Fourier Transform for Radar Target Detection (II): Blind Speed Sidelobe Suppression</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>2011-10-01</date><risdate>2011</risdate><volume>47</volume><issue>4</issue><spage>2473</spage><epage>2489</epage><pages>2473-2489</pages><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>This paper gives a detailed performance analysis for the novel radar long-time coherent integration method, i.e., Radon-Fourier transforms (RFT). Some important properties of RFT, e.g., two-dimensional (2D) impulse response, 2D translational invariance, multitarget linear additivity, linear signal-to-noise ratio gain in additive white Gaussian noise (AWGN), as well as the 2D correlation function of transformed AWGN, are derived for continuous and discrete RFT, respectively. However, because of discrete pulse sampling, finite range resolution, and limited integration time, the "blind-speed sidelobes (BSSL)" of discrete RFT may inevitably appear in real applications. Although the BSSL are reduced with the increase of the blind-speed integer, they may still lead to false alarms or loss detections in a real multitarget scenario. Based on the analytic expression derived for BSSL, the causes of BSSL are analyzed and the effective BSSL suppression methods are proposed. Finally, numerical experiments are also provided to demonstrate the effectiveness of the proposed methods.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TAES.2011.6034645</doi><tpages>17</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) |
| subjects | AWGN Doppler effect Exact solutions Fourier transforms Impulse response Mathematical analysis Mathematical models Object detection Performance evaluation Radar detection Sampling Sidelobes Signal to noise ratio Studies Transforms Two dimensional |
| title | Radon-Fourier Transform for Radar Target Detection (II): Blind Speed Sidelobe Suppression |
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