Results 11 to 20 of about 323 (173)
Structured autocorrelation matrix estimation for coprime arrays [PDF]
A coprime array receiver processes a collection of received-signal snapshots to estimate the autocorrelation matrix of a larger (virtual) uniform linear array, known as coarray. By the received-signal model, this matrix has to be (i) Positive-Definite, (ii) Hermitian, (iii) Toeplitz, and (iv) its noise-subspace eigenvalues have to be equal.
Dimitris G. Chachlakis +1 more
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Array gain of coprime arrays [PDF]
A coprime array of M + N − 1 elements is designed, using product processing (PP), to yield the same beam width as that of a full array of MN elements using conventional beamforming (CBF), while at the same time suppressing the grating lobes. The array gain (AG) for isotropic noise using conventional PP is slightly less than that obtained using CBF ...
T C, Yang, Zhengzheng, Ye
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Generalized coprime array configurations [PDF]
A coprime array consists of two uniform linear subarrays that construct an effective difference co-array with certain desirable characteristics. In this paper, we propose a generalized coprime array concept through the compression of the interelement spacing of one constituting subarray.
Si Qin, Yimin D. Zhang, Moeness G. Amin
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Thinned coprime arrays for DOA estimation [PDF]
Publication in the conference proceedings of EUSIPCO, Kos island, Greece ...
Ahsan Raza, Wei Liu 0001, Qing Shen 0002
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In this study, the problem of blind signal separation for coprime planar arrays is investigated. For coprime planar arrays comprising two uniform rectangular subarrays, we link the signal separation to the tensor-based model called coupled canonical ...
Zhongyuan Que +2 more
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Robust Direction-of-Arrival Estimation for Coprime Array in the Presence of Miscalibrated Sensors
Coprime arrays have been widely adopted for direction-of-arrival (DOA) estimation since it can achieve an increased number of degrees of freedom (DOF).
Jiaxun Kou, Ming Li, Chunlan Jiang
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Space‐time adaptive processing (STAP) for sparse arrays such as coprime and nested arrays is shown to have improved performance for clutter suppression in airborne radar as compared with uniform linear arrays with the same size.
Xiaoye Wang +2 more
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3D Coprime Arrays in Sparse Sensing [PDF]
Coprime arrays are a class of sensor arrays that play a crucial role in various signal processing tasks because of their desirable properties such as sparsity and increased degrees of freedom (DOF) of coarrays. In this contribution, a new class of three-dimensional (3D) arrays is constructed from pure cubic fields.
Li, C, Gan, L, Ling, C
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DOA estimation method of spatial spectrum product for distributed coprime linear array
Coprime array isAsparse array composed of two uniform linear arrays with different spacing. When the two subarrays are inAnon-coherent distributed configuration, the direction of arrival (DOA) method based on the covariance analysis of the complete ...
WANG Na +3 more
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2D MIMO Radar with Coprime Arrays [PDF]
In this contribution, a new class of planar coprime MIMO radar systems based on quadratic integers is proposed where the antenna locations are represented by lattice points generated by prime integers in quadratic number fields. By exploiting the coprimality of certain quadratic integers, the virtual coarrays of proposed structures enjoy a quadratic ...
Li, C, Gan, L, Ling, C
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