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作 者:Yang Jinsheng Xiang Yang Chen Weigang Dong Yangyang
机构地区:[1]School of Microelectronics,Tianjin University,Tianjin 300072,China [2]Joint Laboratory for Ocean Observation and Detection,National Laboratory for Marine Science and Technology,Qingdao 266237,China [3]School of Electronics Engineering,Xidian University,Xi'an 710071,China
出 处:《The Journal of China Universities of Posts and Telecommunications》2018年第6期81-89,共9页中国邮电高校学报(英文版)
基 金:supported by the Joint Laboratory for Ocean Observation and Detection;the National Laboratory for Marine Science and Technology
摘 要:A two-dimensional direction-of-arrival(DOA) estimation method for non-uniform two-L-shaped array is presented in which the element spacing is larger than half-wavelength. To extract automatically paired low-variance cyclically ambiguous direction cosines and high-variance unambiguous direction cosines from the sub-blocks, the proposed method constructs and partitions the cross-correlation matrices. Then, the low-variance unambiguous direction cosines are obtained using the ambiguity resolved technique. Simulation results demonstrate that the proposed method has lower computation complexity and higher resolution than the existing methods especially when the elevation angles are between 70 and 90 degrees.A two-dimensional direction-of-arrival(DOA) estimation method for non-uniform two-L-shaped array is presented in which the element spacing is larger than half-wavelength. To extract automatically paired low-variance cyclically ambiguous direction cosines and high-variance unambiguous direction cosines from the sub-blocks, the proposed method constructs and partitions the cross-correlation matrices. Then, the low-variance unambiguous direction cosines are obtained using the ambiguity resolved technique. Simulation results demonstrate that the proposed method has lower computation complexity and higher resolution than the existing methods especially when the elevation angles are between 70 and 90 degrees.
关 键 词:aperture extension two-dimensional DOA estimation cross-correlation matrix ambiguity resolved
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