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Two-Dimensional Direction Finding via Sequential Sparse Representations
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作者 Yougen Xu Ying Lu +1 位作者 Yulin Huang Zhiwen Liu 《Journal of Beijing Institute of Technology》 EI CAS 2018年第2期169-175,共7页
The problem of two-dimensional direction finding is approached by using a multi-layer Lshaped array. The proposed method is based on two sequential sparse representations,fulfilling respectively the estimation of elev... The problem of two-dimensional direction finding is approached by using a multi-layer Lshaped array. The proposed method is based on two sequential sparse representations,fulfilling respectively the estimation of elevation angles,and azimuth angles. For the estimation of elevation angles,the weighted sub-array smoothing technique for perfect data decorrelation is used to produce a covariance vector suitable for exact sparse representation,related only to the elevation angles. The estimates of elevation angles are then obtained by sparse restoration associated with this elevation angle dependent covariance vector. The estimates of elevation angles are further incorporated with weighted sub-array smoothing to yield a second covariance vector for precise sparse representation related to both elevation angles,and azimuth angles. The estimates of azimuth angles,automatically paired with the estimates of elevation angles,are finally obtained by sparse restoration associated with this latter elevation-azimuth angle related covariance vector. Simulation results are included to illustrate the performance of the proposed method. 展开更多
关键词 array signal processing adaptive array direction finding sparse representation
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Jamming Monitoring Technology of the Space Situational Awareness Facilities:A Comprehensive Survey
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作者 Sitian Liu Chunli Zhu +6 位作者 Chen Yang Liyang Chen Kun Fang Kuo Li Xing He Zhipeng Wang Liheng Bian 《Journal of Beijing Institute of Technology》 EI CAS 2022年第2期152-168,共17页
Complicated electromagnetic environments of the space situational awareness facilities(i.e.,satellite navigation systems,radar)would significantly impact normal operations.Effective monitoring and the corresponding di... Complicated electromagnetic environments of the space situational awareness facilities(i.e.,satellite navigation systems,radar)would significantly impact normal operations.Effective monitoring and the corresponding diagnosis of the jamming signals are essential to normal opera-tions and the innovations in anti-jamming equipment.This paper demonstrates a comprehensive survey on jamming monitoring algorithms and applications.The methods in dealing with jamming signals are summarized primarily.Subsequently,the jamming detection,identification,and direc-tion finding techniques are addressed separately.Based on the established studies,we also provide some potential trends of the demonstrated jamming monitoring issues. 展开更多
关键词 space situational awareness facilities jamming monitoring deep learning jamming de-tection jamming identification jamming direction finding
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