An approach for parameter estimation of combined CPPM and LFM radar signal
In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation （CPPM） and linear frequency modulation （LFM）, which can be widely used in electronic countermeasures, is addressed. An approach is proposed to estimate the initial frequency and...
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| Veröffentlicht in: | Chinese journal of aeronautics 2013-08, Vol.26 (4), p.986-992 |
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| container_title | Chinese journal of aeronautics |
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| creator | Zhang, Wei Xiong, Ying Wang, Pei Wang, Jun Tang, Bin |
| description | In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation （CPPM） and linear frequency modulation （LFM）, which can be widely used in electronic countermeasures, is addressed. An approach is proposed to estimate the initial frequency and chirp rate of the combined signal by exploiting the second-order cyclostationarity of the intra-pulse signal. In addition, under the condition of the equal pulse width, the pulse repetition interval （PRI） of the combined signal is predicted using the low-order Volterra adaptive filter. Simulations demonstrate that the proposed cyclic autocorrelation Hough transform （CHT） algorithm is theoretically tolerant to additive white Gaussian noise. When the value of signal noise to ratio （SNR） is less than 4 dB, it can still estimate the intra-pulse parameters well. When SNR = 3 dB, a good prediction of the PRI sequence can be achieved by the Volterra adaptive filter algorithm, even only 100 training samples. |
| doi_str_mv | 10.1016/j.cja.2013.06.008 |
| format | Article |
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An approach is proposed to estimate the initial frequency and chirp rate of the combined signal by exploiting the second-order cyclostationarity of the intra-pulse signal. In addition, under the condition of the equal pulse width, the pulse repetition interval （PRI） of the combined signal is predicted using the low-order Volterra adaptive filter. Simulations demonstrate that the proposed cyclic autocorrelation Hough transform （CHT） algorithm is theoretically tolerant to additive white Gaussian noise. When the value of signal noise to ratio （SNR） is less than 4 dB, it can still estimate the intra-pulse parameters well. When SNR = 3 dB, a good prediction of the PRI sequence can be achieved by the Volterra adaptive filter algorithm, even only 100 training samples.</description><identifier>ISSN: 1000-9361</identifier><identifier>DOI: 10.1016/j.cja.2013.06.008</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Adaptive filters ; Air traffic control ; Algorithms ; Chaotic pulse position modulation ; Combined radar signal ; CPPM ; Cyclic autocorrelation ; Electronic countermeasures ; Estimates ; Hough transform ; Hough transforms ; Hough变换 ; LFM ; Linear frequency modulation ; Noise ; Noise levels ; Parameter estimation ; Radar ; Volterra ; Volterra adaptive filter ; 信号参数估计 ; 加性高斯白噪声 ; 自适应滤波器 ; 雷达信号</subject><ispartof>Chinese journal of aeronautics, 2013-08, Vol.26 (4), p.986-992</ispartof><rights>2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c399t-c3614fa76e5db0a6fb51c33acf916d540edebc47e306e9ea6f2dbdea252d3c343</citedby><cites>FETCH-LOGICAL-c399t-c3614fa76e5db0a6fb51c33acf916d540edebc47e306e9ea6f2dbdea252d3c343</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/83889X/83889X.jpg</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.cja.2013.06.008$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids></links><search><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Xiong, Ying</creatorcontrib><creatorcontrib>Wang, Pei</creatorcontrib><creatorcontrib>Wang, Jun</creatorcontrib><creatorcontrib>Tang, Bin</creatorcontrib><title>An approach for parameter estimation of combined CPPM and LFM radar signal</title><title>Chinese journal of aeronautics</title><addtitle>Chinese Journal of Aeronautics</addtitle><description>In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation （CPPM） and linear frequency modulation （LFM）, which can be widely used in electronic countermeasures, is addressed. An approach is proposed to estimate the initial frequency and chirp rate of the combined signal by exploiting the second-order cyclostationarity of the intra-pulse signal. In addition, under the condition of the equal pulse width, the pulse repetition interval （PRI） of the combined signal is predicted using the low-order Volterra adaptive filter. Simulations demonstrate that the proposed cyclic autocorrelation Hough transform （CHT） algorithm is theoretically tolerant to additive white Gaussian noise. When the value of signal noise to ratio （SNR） is less than 4 dB, it can still estimate the intra-pulse parameters well. When SNR = 3 dB, a good prediction of the PRI sequence can be achieved by the Volterra adaptive filter algorithm, even only 100 training samples.</description><subject>Adaptive filters</subject><subject>Air traffic control</subject><subject>Algorithms</subject><subject>Chaotic pulse position modulation</subject><subject>Combined radar signal</subject><subject>CPPM</subject><subject>Cyclic autocorrelation</subject><subject>Electronic countermeasures</subject><subject>Estimates</subject><subject>Hough transform</subject><subject>Hough transforms</subject><subject>Hough变换</subject><subject>LFM</subject><subject>Linear frequency modulation</subject><subject>Noise</subject><subject>Noise levels</subject><subject>Parameter estimation</subject><subject>Radar</subject><subject>Volterra</subject><subject>Volterra adaptive filter</subject><subject>信号参数估计</subject><subject>加性高斯白噪声</subject><subject>自适应滤波器</subject><subject>雷达信号</subject><issn>1000-9361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><recordid>eNp9kD9PwzAQxTOARCl8ADazsTSc48RpxFRVlD9qRQeYLce-tK4SO7VTJL49rloxstwt73fv3kuSOwopBcofd6nayTQDylLgKcD0IhlRAJhUjNOr5DqEHQCrSgqj5H1miex776TaksZ50ksvOxzQEwyD6eRgnCWuIcp1tbGoyXy9XhFpNVkuVsRLLT0JZmNle5NcNrINeHve4-Rr8fw5f50sP17e5rPlRLGqGuLkNG9kybHQNUje1AVVjEnVVJTrIgfUWKu8RAYcK4yCTNcaZVZkmimWs3HycLobv94f4peiM0Fh20qL7hAE5TxmLqCkUUpPUuVdCB4b0fuYyf8ICuLYldiJ2JU4diWAi8hF5unEYMzwbdCLoAxahdp4VIPQzvxL358dt85u9sZu_ixzXrE8m5bsF_VGfrI</recordid><startdate>20130801</startdate><enddate>20130801</enddate><creator>Zhang, Wei</creator><creator>Xiong, Ying</creator><creator>Wang, Pei</creator><creator>Wang, Jun</creator><creator>Tang, Bin</creator><general>Elsevier Ltd</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>6I.</scope><scope>AAFTH</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></search><sort><creationdate>20130801</creationdate><title>An approach for parameter estimation of combined CPPM and LFM radar signal</title><author>Zhang, Wei ; Xiong, Ying ; Wang, Pei ; Wang, Jun ; Tang, Bin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c399t-c3614fa76e5db0a6fb51c33acf916d540edebc47e306e9ea6f2dbdea252d3c343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adaptive filters</topic><topic>Air traffic control</topic><topic>Algorithms</topic><topic>Chaotic pulse position modulation</topic><topic>Combined radar signal</topic><topic>CPPM</topic><topic>Cyclic autocorrelation</topic><topic>Electronic countermeasures</topic><topic>Estimates</topic><topic>Hough transform</topic><topic>Hough transforms</topic><topic>Hough变换</topic><topic>LFM</topic><topic>Linear frequency modulation</topic><topic>Noise</topic><topic>Noise levels</topic><topic>Parameter estimation</topic><topic>Radar</topic><topic>Volterra</topic><topic>Volterra adaptive filter</topic><topic>信号参数估计</topic><topic>加性高斯白噪声</topic><topic>自适应滤波器</topic><topic>雷达信号</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Wei</creatorcontrib><creatorcontrib>Xiong, Ying</creatorcontrib><creatorcontrib>Wang, Pei</creatorcontrib><creatorcontrib>Wang, Jun</creatorcontrib><creatorcontrib>Tang, Bin</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</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><jtitle>Chinese journal of aeronautics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Wei</au><au>Xiong, Ying</au><au>Wang, Pei</au><au>Wang, Jun</au><au>Tang, Bin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An approach for parameter estimation of combined CPPM and LFM radar signal</atitle><jtitle>Chinese journal of aeronautics</jtitle><addtitle>Chinese Journal of Aeronautics</addtitle><date>2013-08-01</date><risdate>2013</risdate><volume>26</volume><issue>4</issue><spage>986</spage><epage>992</epage><pages>986-992</pages><issn>1000-9361</issn><abstract>In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation （CPPM） and linear frequency modulation （LFM）, which can be widely used in electronic countermeasures, is addressed. An approach is proposed to estimate the initial frequency and chirp rate of the combined signal by exploiting the second-order cyclostationarity of the intra-pulse signal. In addition, under the condition of the equal pulse width, the pulse repetition interval （PRI） of the combined signal is predicted using the low-order Volterra adaptive filter. Simulations demonstrate that the proposed cyclic autocorrelation Hough transform （CHT） algorithm is theoretically tolerant to additive white Gaussian noise. When the value of signal noise to ratio （SNR） is less than 4 dB, it can still estimate the intra-pulse parameters well. When SNR = 3 dB, a good prediction of the PRI sequence can be achieved by the Volterra adaptive filter algorithm, even only 100 training samples.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.cja.2013.06.008</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Chinese journal of aeronautics, 2013-08, Vol.26 (4), p.986-992 |
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| language | eng |
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| source | Elsevier ScienceDirect Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Adaptive filters Air traffic control Algorithms Chaotic pulse position modulation Combined radar signal CPPM Cyclic autocorrelation Electronic countermeasures Estimates Hough transform Hough transforms Hough变换 LFM Linear frequency modulation Noise Noise levels Parameter estimation Radar Volterra Volterra adaptive filter 信号参数估计 加性高斯白噪声 自适应滤波器 雷达信号 |
| title | An approach for parameter estimation of combined CPPM and LFM radar signal |
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