翟会
  • 学位:工学硕士学位
  • 职称:工程师
  • 所在单位:公共实验教学部
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所在单位:公共实验教学部
学历:南京航空航天大学

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标题:
DOA Estimation of Noncircular Signals for Unfolded Coprime Linear Array: Identifiability, DOF and Algorithm (May 2018)
点击次数:
所属单位:
电子信息工程学院
发表刊物:
IEEE ACCESS
关键字:
DOA estimation noncircular signals reduced dimensional MUSIC unfolded coprime linear array
摘要:
An ambiguity-free direction of arrival (DOA) estimation method is presented for unfolded coprime linear array (UCLA) in this paper to resolve noncircular signals. Unlike the existing methods which process the two subarrays of coprime linear array separately, we stack the received signals of the two subarrays and derive the total subspace to produce the MUSIC spectrum. Specifically, we demonstrate that the ambiguity problem can be suppressed owing to the coprime property and the true DOA estimates can be obtained immediately. As the self-information and mutual information are jointly employed, the proposed method can achieve the full degrees of freedom (DOFs) and improved DOA estimation performance. Meanwhile, the extended aperture of UCLA can be feasibly exploited, which endows the proposed method with an enhanced identifiability. In addition, the non-circularity is utilized to double the available DOF and further improve the estimation accuracy of the proposed method. Simulation results verify the effectiveness and superiority of the proposed method.
ISSN号:
2169-3536
是否译文:
发表时间:
2018-01-01
合写作者:
张小飞,F70206593,Gong, Pan
通讯作者:
张小飞,翟会
发表时间:
2018-01-01
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