2-D direction finding for coexisted independent and coherent signals
文献类型:会议论文
作者 | An, Chunlian1,2,3; Zhou, Dengmei2; Tang, Ke2; Wang, Yong4; Tian, Liangliang2 |
出版日期 | 1905-07-14 |
会议日期 | July 29, 2022 - July 31, 2022 |
关键词 | Covariance matrix |
卷号 | 12451 |
DOI | 10.1117/12.2656577 |
英文摘要 | The present 2-D direction finding methods for coexisted independent and coherent signals are mainly adopting array containing large number of array sensors, which have great computational complexity and bad utilization rate of array aperture. In this article, a 2-D DOA estimation method is presented based on the L-shape array. The estimation of the independent and coherent signals is conducted separately. the DOAs of the uncorrelated signal are estimated firstly, and the information of the coherent signal can be eliminated by exploiting the property of the coherent signals. Besides, utilizing the Toeplitz property of the uncorrelated data covariance matrix, we can obtain the data matrix containing the information of the coherent signals only. Sufficient theoretical analysis and simulation results are conducted, which show that the presented method has smaller computational complexity, higher array aperture and better performance comparing with the present methods. 漏 2022 SPIE. |
项目编号 | This work was supported by The Natural Science Foundation of Chongqing, China CSTC (cstc2021jcyj-msxmX0429, cstc2020jcyj-msxmX0718) ; and the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN202001315, KJQN201901326, HZ2021013) ; and the 2019 Taki Project of Chongqing University of Arts and Sciences (No. R2019SDQ03). |
会议录 | Proceedings of SPIE - The International Society for Optical Engineering
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会议录出版者 | SPIE |
学科主题 | Computational Complexity |
源URL | [http://ir.ipe.ac.cn/handle/122111/59625] ![]() |
作者单位 | 1.Chongqing Jinmei Communication Co. Ltd., Chongqing; 400000, China 2.School of Electronic Information and Electrical Engineering, Chongqing University of Arts and Sciences, Chongqing; 402160, China 3.College of Computer Science, Chongqing University, Chongqing; 400030, China 4.Institute of Process Engineering, Chinese Academy of Sciences, Beijing; 100190, China |
推荐引用方式 GB/T 7714 | An, Chunlian,Zhou, Dengmei,Tang, Ke,et al. 2-D direction finding for coexisted independent and coherent signals[C]. 见:. July 29, 2022 - July 31, 2022. |
入库方式: OAI收割
来源:过程工程研究所
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