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相关作者：王伟丁丽陈卫东王天云尹治平更多>>
相关机构：重庆邮电大学电子科技大学哈尔滨工程大学中国卫星海上测控部更多>>
相关期刊：《Journal of Communications and Information Networks》《Communications in Computational Physics》《Energy Engineering》《Chinese Journal of Electronics》更多>>
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CFAR Block-Sparse Bayesian Learning Algorithm for the Off-grid DOA Estimation with Coprime Array被引量：1
《Chinese Journal of Electronics》2019年第4期863-870,共8页HAN Jun HE Minghao FENG Mingyue JIANG Ying 
supported by the National Natural Science Foundation of China(No.61401504);Natural Foundation of Hubei Province(No.2016CFB288);the Military Plan of Scientific Research Project
Constant false-alarm rate Block-sparse Bayesian learning(CFAR-BSBL)algorithm is proposed to reduce the computational complexity and improve Direction of arrival(DOA)estimation accuracy of offgrid signals with coprime ...
关键词：OFF-GRID DIRECTION-OF-ARRIVAL estimation BLOCK sparse Bayesian learning(BSBL) Coprime ARRAY CFAR detection Low complexity 
2-D DOA Estimation Using Off-Grid Sparse Learning via Iterative Minimization with L-Parallel Coprime Array被引量：3
《Chinese Journal of Electronics》2018年第6期1322-1328,共7页FENG Mingyue HE Minghao HAN Jun CHEN Changxiao 
supported by the National Natural Science Foundation of China(No.61401504);Natural Foundation of Hubei Province(No.2016CFB288);the Military Plan of Scientific Research Project(No.2015XXX)
An L-parallel coprime array is designed and an Off-grid sparse learning via iterative minimization （OGSLIM） algorithm is proposed in order to improve the performance of Two-dimensional direction-of-arrival （2-D DOA...
关键词：Two-dimensional direction-of-arrival （2- D DOA） estimation Off-grid problem L-parallel coprime array Off-grld sparse learning via iterative minimization （OGSLIM） 
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