Adjacent co-prime array for DOA estimation of real-valued sources

Li Liu, Jia Xu, Zuzhen Huang, Guan Wang, Teng Long

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

It is known that the co-prime array should be more attractive for estimating the direction of arrival (DOA) of multiple sources because it can obtain a high system degrees of freedom (DOFs). In this paper, we proposed a vectorized conjugate augmented method which can further increase the DOFs of the array by exploiting the sum co-array based on real-valued sources. Meanwhile, to obtain more available continuous virtual elements, we proposed an adjacent co-prime array (ACPA), by which, we can estimate N2 +3N real-valued sources from different directions with 2N physical elements. Finally, some results of numerical experiments are provided to demonstrate the effectiveness of the proposed method.

源语言英语
主期刊名2017 IEEE Radar Conference, RadarConf 2017
出版商Institute of Electrical and Electronics Engineers Inc.
862-866
页数5
ISBN(电子版)9781467388238
DOI
出版状态已出版 - 7 6月 2017
活动2017 IEEE Radar Conference, RadarConf 2017 - Seattle, 美国
期限: 8 5月 201712 5月 2017

出版系列

姓名2017 IEEE Radar Conference, RadarConf 2017

会议

会议2017 IEEE Radar Conference, RadarConf 2017
国家/地区美国
Seattle
时期8/05/1712/05/17

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