云南高校图书馆联盟文献共享服务平台- COMBINING

COMBINING: 作品数：621被引量：1359H指数：15; 导出分析报告; 相关领域：自动化与计算机技术更多>>; 相关作者：张博储彩婷王婷婷金敏菲尹秋凤更多>>; 相关机构：同济大学中国科学技术大学电子科技大学哈尔滨工业大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划中国博士后科学基金更多>>

Short-range clutter suppression method combining oblique projection and interpolation in airborne CFA radar被引量：1: 《Journal of Systems Engineering and Electronics》2021年第1期92-102,共11页HU Yili ZHAO Yongbo PANG Xiaojiao CHEN Sheng; supported by the Fund for Foreign Scholars in University Research and Teaching Programs(the 111 Project)(B18039)。; The airborne conformal array(CFA)radar's clutter ridges are range-modulated,which result in a bias in the estimation of the clutter covariance matrix(CCM)of the cell under test(CUT),further,reducing the clutter suppre...; 关键词：airborne conformal arrays(CFA)radar oblique projection intersected range space short-range clutter suppression

Near-field 3D imaging approach combining MJSR and FGG-NUFFT被引量：3: 《Journal of Systems Engineering and Electronics》2019年第6期1096-1109,共14页WANG Shuzhen FANG Yang ZHANG Jin’gang LUO Mingshi LI Qing; supported by the National Natural Science Foundation of China(61771369; 61775219; 61640422);the Fundamental Research Funds for the Central Universities(JB180310);the Equipment Research Program of the Chinese Academy of Sciences(YJKYYQ20180039);the Shaanxi Provincial Key R&D Program(2018SF-409; 2018ZDXM-SF-027);the Natural Science Basic Research Plan; A near-field three-dimensional(3 D)imaging method combining multichannel joint sparse recovery(MJSR)and fast Gaussian gridding nonuniform fast Fourier transform(FGGNUFFT)is proposed,based on a perfect combination of t...; 关键词：interference imaging joint sparse recovery compressed sensing(CS) matching filtering(MF) fast Gaussian gridding nonuniform fast Fourier transform(NUFFT) near-field 3D imaging

Performance gain bounds of coherently combining multiple radars in a target-based calibration manner被引量：4: 《Journal of Systems Engineering and Electronics》2019年第2期278-287,共10页LIU Xinghua XU Zhenhai XIAO Shunping; supported by the National Natural Science Foundation of China(61471372); To achieve a high signal-to-noise ratio(SNR) while maintaining moderate radar antenna, a target-based calibration manner is available to coherently combine multiple radars. The key to this calibration manner is to est...; 关键词：coherently COMBINING MULTIPLE radars Cramer-Rao BOUND (CRB) coherence gain

Combining sum-difference and auxiliary beams for adaptive monopulse in jamming被引量：15: 《Journal of Systems Engineering and Electronics》2013年第3期372-381,共10页Rongfeng Li Can Rao Lingyan Dai Yongliang Wang; supported by the National Natural Science Foundation of China(60925005); Only in the presence of sidelobe jamming （SLJ）, can the conventional adaptive monopulse technique null the jamming effectively and maintain the monopulse angle estimation accuracy simultaneously. While mainlobe jamm...; 关键词：adaptive beamforming auxiliary beam mainlobe jam- ming monopulse estimation.

Extended research on software hybrid testing combining reliability and directed testing被引量：1: 《Journal of Systems Engineering and Electronics》2011年第5期856-865,共10页Haifeng Li Yongqi Zhang Minyan Lu; The software reliability testing has many disadvantages in practice, such as high complexity of constructing operational profiles and poor fault detection efficiency. Oppositely, the directed testing with a high fa...; 关键词：hybrid testing reliability testing directed testing relia- bilitv model order statistic （OS）.

Adaptive variational models for image decomposition combining staircase reduction and texture extraction被引量：1: 《Journal of Systems Engineering and Electronics》2009年第2期254-259,共6页Jiang Lingling Yin Haiqing Feng Xiangchu; New models for image decomposition are proposed which separate an image into a cartoon, consisting only of geometric objects, and an oscillatory component, consisting of textures or noise. The proposed models are give...; 关键词：image decomposition total variation minimization bounded variation TEXTURE

Combining Radon-ambiguity transform with second-order difference to improve detection probability of LFM signals in low SNR被引量：4: 《Journal of Systems Engineering and Electronics》2009年第1期13-19,共7页Tan Xiaogang Wei Ping Li Liping; supported by the Program for New Century Excellent Talents in University, Ministry of Education (NCET-05-0803); The Radon-ambiguity transform （RAT）, although efficient for detecting the linear frequency modulated signals （LFMs）, is troubled by the energy accumulation of noise in low signal-to-noise ratio （SNR）. A secondor...; 关键词：linear frequency modulated signals Radon-axnbiguity transform detection probability low signal-to-noise ratio.

Algorithmof communication network reliability combining links,nodes and capacity被引量：1: 《Journal of Systems Engineering and Electronics》2005年第3期550-556,共7页戴伏生宋立众; The conception of the normalized reliability index weighted by capacity is introduced, which combing the communication capacity, the reliability probability of exchange nodes and the reliability probability of the tra...; 关键词：communication network route algorithm RELIABILITY communication capacity.

Improvement method for the combining rule of Dempster-Shaferevidence theory based on reliability被引量：8: 《Journal of Systems Engineering and Electronics》2005年第2期471-474,F003,共5页WangPing YangGenqing; An improvement method for the combining rule of Dempster evidence theory is proposed. Different from Dempster theory, the reliability of evidences isn't identical; and varies with the event. By weight evidence accordi...; 关键词：data fusion RELIABILITY Dempster-Shafer evidence theory.

Research on Methods of Parameter Estimation in Combining Forecasting Based on Harmonic Mean: 《Journal of Systems Engineering and Electronics》1998年第1期2-8,共7页Wang Yingming Dept. of Automation, Xiamen University, 361005, P. R. China; Two kinds of parameter estimation methods (I) and (II) of combining forecasting based on harmontic mean are proposed and compared through a lot of simulation forecasting examples. A very helpful conclusion is obtained...; 关键词：Harmonic mean Combining forecasting Parameter estimation.

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