Attitude Stability Determination Based on RCS Series Information Extraction for Space Objects
Information extraction for space objects based on narrowband radars is still a hot spot in the field of automatic target recognition. The attitude stability of space objects can be determined by randomicity and periodicity detection for RCS series. In this paper, a nonparametric statistics theory ca...
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| Veröffentlicht in: | Applied Mechanics and Materials 2010-01, Vol.20-23, p.936-941 |
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| creator | Wang, Cai Fu, Xiong Jun Gao, Mei Guo Wang, Min |
| description | Information extraction for space objects based on narrowband radars is still a hot spot in
the field of automatic target recognition. The attitude stability of space objects can be determined by
randomicity and periodicity detection for RCS series. In this paper, a nonparametric statistics theory
called run test is adopted to perform randomicity detection. Autocorrelation function and cepstrum
analysis are used to judge periodicity and estimate the rotate speed for rotary targets. What’s more, a
novel method is proposed here for attitude stability determination according to the rule of posture
angle altering. The experiments with real data indicate the effectiveness of the methods. |
| doi_str_mv | 10.4028/www.scientific.net/AMM.20-23.936 |
| format | Article |
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the field of automatic target recognition. The attitude stability of space objects can be determined by
randomicity and periodicity detection for RCS series. In this paper, a nonparametric statistics theory
called run test is adopted to perform randomicity detection. Autocorrelation function and cepstrum
analysis are used to judge periodicity and estimate the rotate speed for rotary targets. What’s more, a
novel method is proposed here for attitude stability determination according to the rule of posture
angle altering. The experiments with real data indicate the effectiveness of the methods.</description><identifier>ISSN: 1660-9336</identifier><identifier>ISSN: 1662-7482</identifier><identifier>ISBN: 0878492879</identifier><identifier>ISBN: 9780878492879</identifier><identifier>EISSN: 1662-7482</identifier><identifier>DOI: 10.4028/www.scientific.net/AMM.20-23.936</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><ispartof>Applied Mechanics and Materials, 2010-01, Vol.20-23, p.936-941</ispartof><rights>2010 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. Jan 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c428t-44c4c459e39f3fb545148b880d5dfa21ca31ba5dbea8f4feb339cef3edf701f53</citedby><cites>FETCH-LOGICAL-c428t-44c4c459e39f3fb545148b880d5dfa21ca31ba5dbea8f4feb339cef3edf701f53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/893?width=600</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Wang, Cai</creatorcontrib><creatorcontrib>Fu, Xiong Jun</creatorcontrib><creatorcontrib>Gao, Mei Guo</creatorcontrib><creatorcontrib>Wang, Min</creatorcontrib><title>Attitude Stability Determination Based on RCS Series Information Extraction for Space Objects</title><title>Applied Mechanics and Materials</title><description>Information extraction for space objects based on narrowband radars is still a hot spot in
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randomicity and periodicity detection for RCS series. In this paper, a nonparametric statistics theory
called run test is adopted to perform randomicity detection. Autocorrelation function and cepstrum
analysis are used to judge periodicity and estimate the rotate speed for rotary targets. What’s more, a
novel method is proposed here for attitude stability determination according to the rule of posture
angle altering. The experiments with real data indicate the effectiveness of the methods.</description><issn>1660-9336</issn><issn>1662-7482</issn><issn>1662-7482</issn><isbn>0878492879</isbn><isbn>9780878492879</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkE1PwzAMhiM-JNjgP1TiwqVdmqRdemMbAyZtmkThiKI0dUSmrR1JprF_T1iR4Ih8sGVb72s_CN2mOGGY8MF-v0-cMtB4o41KGvCD0WKREBwTmhQ0P0GXaZ6TeMg4OUU9zIecFYQPi7PjAMcFpfkF6jm3wjhnKeOX6G3kvfG7GqLSy8qsjT9E9-DBbkwjvWmbaCwd1FEonidlVII14KJZo1u76ebTT2-lOpahGZVbqSBaVitQ3l2hcy3XDq5_ch-9PkxfJk_xfPk4m4zmsWKE-5gxFSIrgBaa6ipjWbit4hzXWa0lSZWkaSWzugLJNdNQUVoo0BRqPcSpzmgf3XS6W9t-7MB5sWp3tgmWImWMckwpZmHrrttStnXOghZbazbSHkSKxTdhEQiLX8IiEBaBsCBYECoC4SAx7iTCz43zoN7_OP1X5Avq242B</recordid><startdate>20100101</startdate><enddate>20100101</enddate><creator>Wang, Cai</creator><creator>Fu, Xiong Jun</creator><creator>Gao, Mei Guo</creator><creator>Wang, Min</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7TB</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20100101</creationdate><title>Attitude Stability Determination Based on RCS Series Information Extraction for Space Objects</title><author>Wang, Cai ; Fu, Xiong Jun ; Gao, Mei Guo ; Wang, Min</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c428t-44c4c459e39f3fb545148b880d5dfa21ca31ba5dbea8f4feb339cef3edf701f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Cai</creatorcontrib><creatorcontrib>Fu, Xiong Jun</creatorcontrib><creatorcontrib>Gao, Mei Guo</creatorcontrib><creatorcontrib>Wang, Min</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Applied Mechanics and Materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Cai</au><au>Fu, Xiong Jun</au><au>Gao, Mei Guo</au><au>Wang, Min</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Attitude Stability Determination Based on RCS Series Information Extraction for Space Objects</atitle><jtitle>Applied Mechanics and Materials</jtitle><date>2010-01-01</date><risdate>2010</risdate><volume>20-23</volume><spage>936</spage><epage>941</epage><pages>936-941</pages><issn>1660-9336</issn><issn>1662-7482</issn><eissn>1662-7482</eissn><isbn>0878492879</isbn><isbn>9780878492879</isbn><abstract>Information extraction for space objects based on narrowband radars is still a hot spot in
the field of automatic target recognition. The attitude stability of space objects can be determined by
randomicity and periodicity detection for RCS series. In this paper, a nonparametric statistics theory
called run test is adopted to perform randomicity detection. Autocorrelation function and cepstrum
analysis are used to judge periodicity and estimate the rotate speed for rotary targets. What’s more, a
novel method is proposed here for attitude stability determination according to the rule of posture
angle altering. The experiments with real data indicate the effectiveness of the methods.</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/AMM.20-23.936</doi><tpages>6</tpages></addata></record> |
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| title | Attitude Stability Determination Based on RCS Series Information Extraction for Space Objects |
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