[논문]Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation

Zhou, Chengwei; Gu, Yujie; Fan, Xing; Shi, Zhiguo; Mao, Guoqiang; Zhang, Yimin D.

doi:10.1109/TSP.2018.2872012

Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation

IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society, v.66 no.22, 2018년, pp.5956 - 5971

Zhou, Chengwei (College of Information Science and Electronic Engineering and the State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China) , Gu, Yujie (Department of Electrical and Computer Engineering, Temple University, Philadelphia, USA) , Fan, Xing (College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China) , Shi, Zhiguo (College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China) , Mao, Guoqiang (School of Computing and Communications, University of Technology Sydney, Sydney, Australia) , Zhang, Yimin D. (Department of Electrical and Computer Engineering, Temple University, Philadelphia, USA)

Abstract ▼ AI-Helper

Coprime arrays can achieve an increased number of degrees of freedom by deriving the equivalent signals of a virtual array. However, most existing methods fail to utilize all information received by the coprime array due to the non-uniformity of the derived virtual array, resulting in an inevitable estimation performance loss. To address this issue, we propose a novel virtual array interpolation-based algorithm for coprime array direction-of-arrival (DOA) estimation in this paper. The idea of array interpolation is employed to construct a virtual uniform linear array such that all virtual sensors in the non-uniform virtual array can be utilized, based on which the atomic norm of the second-order virtual array signals is defined. By investigating the properties of virtual domain atomic norm, it is proved that the covariance matrix of the interpolated virtual array is related to the virtual measurements under the Hermitian positive semi-definite Toeplitz condition. Accordingly, an atomic norm minimization problem with respect to the equivalent virtual measurement vector is formulated to reconstruct the interpolated virtual array covariance matrix in a gridless manner, where the reconstructed covariance matrix enables off-grid DOA estimation. Simulation results demonstrate the performance advantages of the proposed DOA estimation algorithm for coprime arrays.

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표제어: PCR

동의어: Packet Collision Rate

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용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

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Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation

Abstract ▼ AI-Helper

참고문헌 (49)

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