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许凌云

副教授

学历:南京航空航天大学

学位:工学博士学位

所在单位:理学院

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A Novel Unitary PARAFAC Algorithm for Joint DOA and Frequency Estimation

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所属单位:理学院

发表刊物:IEEE COMMUNICATIONS LETTERS

关键字:DOA estimation frequency estimation unitary transformation real-valued PARAFAC

摘要:A novel joint direction of arrival (DOA) and carrier frequency estimation of narrow-band sources is proposed via the unitary parallel factor (PARAFAC) method. By exploiting the unitary transformation and forward-backward techniques, the real-valued PARAFAC signal model is constructed. Then, the real-valued trilinear decomposition can be used to obtain the time delay and direction matrices. Finally, the DOA and carrier frequency estimation can be extracted by using normalization and least squares without additional pair matching. The proposed algorithm provides more accurate parameter estimation than the existing algorithms. Moreover, it is applicable for coherent or closely spaced sources. The simulation results verify the effectiveness of the proposed algorithm.

ISSN号:1089-7798

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发表时间:2019-04-01

合写作者:Wen, Fangqing,张小飞

通讯作者:许凌云

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