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英国肖特兄弟公司的导弹计划
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作者 《中国航天》 1981年第3期27-28,共2页
据《航讯》一九八○年九月十六日报导:目前正在用装备高度表的近程“海猫”导弹进行高度缓冲试验。由于采用了大型战斗部和红外近炸引信,如果又装备了相应的先进跟踪器的话,就可大大延长大量服役中的“海猫”导弹的寿命。肖特兄弟公司... 据《航讯》一九八○年九月十六日报导:目前正在用装备高度表的近程“海猫”导弹进行高度缓冲试验。由于采用了大型战斗部和红外近炸引信,如果又装备了相应的先进跟踪器的话,就可大大延长大量服役中的“海猫”导弹的寿命。肖特兄弟公司根据新的合同,正大量生产替换型“海猫”导弹。肖特兄弟公司已得到从事下一代肩射式防空导弹可行性研究的经费。马可尼公司当然还是搞它的制导。与此同时,按 A 级野战标准继续在生产“吹管”,科萨尔公司的敌我识别器也在分头生产。 展开更多
关键词 导弹 装备 肖特 敌我识别器 雷达识别器 兄弟 英国 大不列颠及北爱尔兰联合王国
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Research on Radar Emitter Attribute Recognition Method 被引量:1
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作者 GUAN Xin YI Xiao HE You 《Geo-Spatial Information Science》 2006年第1期45-48,共4页
In order to solve emitter recognition problems in a practical reconnaissance environment, attribute mathematics is introduced. The basic concepts and theory of attribute set and attribute measure are described i n det... In order to solve emitter recognition problems in a practical reconnaissance environment, attribute mathematics is introduced. The basic concepts and theory of attribute set and attribute measure are described i n detail. A new attribute recognition method based on attribute measure is prese nted in this paper. Application example is given, which demonstrates this new me thod is accurate and effective. Moreover, computer simulation for recognizing th e emitter purpose is selected, and compared with classical statistical pattern r ecognition through simulation. The excellent experimental results demonstrate t hat this is a brand-new attribute recognition method as compared to existing st atistical pattern recognition techniques. 展开更多
关键词 attribute measure attribute recognition criterion emitter recognition
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Human Motion Recognition Using Ultra-Wideband Radar and Cameras on Mobile Robot
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作者 李团结 盖萌萌 《Transactions of Tianjin University》 EI CAS 2009年第5期381-387,共7页
Cameras can reliably detect human motions in a normal environment, but they are usually affected by sudden illumination changes and complex conditions, which are the major obstacles to the reliability and robustness o... Cameras can reliably detect human motions in a normal environment, but they are usually affected by sudden illumination changes and complex conditions, which are the major obstacles to the reliability and robustness of the system. To solve this problem, a novel integration method was proposed to combine hi-static ultra-wideband radar and cameras. In this recognition system, two cameras are used to localize the object's region, regions while a radar is used to obtain its 3D motion models on a mobile robot. The recognition results can be matched in the 3D motion library in order to recognize its motions. To confirm the effectiveness of the proposed method, the experimental results of recognition using vision sensors and those of recognition using the integration method were compared in different environments. Higher correct-recognition rate is achieved in the experiment. 展开更多
关键词 ultra-wideband radar computer vision pattern recognition human motion mobile robot
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