Results 21 to 30 of about 497 (197)
Structured autocorrelation matrix estimation for coprime arrays [PDF]
Signal Processing, 2021 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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Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays. [PDF]
Sensors (Basel), 2019 A two-stage method is proposed to jointly estimate the direction-of-arrival (DOA) and carrier frequency (CF) of multiple sources, by using two orthogonal coprime arrays (CPAs).
Hsu KC, Kiang JF.
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Efficient and Robust Adaptive Beamforming Based on Coprime Array Interpolation
Remote SensingUnlike uniform linear arrays (ULAs), coprime arrays require fewer physical sensors yet provide higher degrees of freedom (DOF) and larger array apertures.
Siming Chen +4 more
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Array gain of coprime arrays [PDF]
The Journal of the Acoustical Society of America, 2019 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]
2014 IEEE 8th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2014 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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COPRIME ARRAY PARAMETERS OPTIMIZATION FOR DOA ESTIMATION
Iraqi Journal of Information & Communication Technology, 2021 Sparse array such as the coprime array is one of the most preferable sparse arrays for direction of arrival estimation due to its properties, like simplicity, capability of resolving more sources than the number of elements and resistance to mutual ...
Fatimah A. Salman, Bayan M. Sabbar
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3D Coprime Arrays in Sparse Sensing [PDF]
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019 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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Robust Direction-of-Arrival Estimation for Coprime Array in the Presence of Miscalibrated Sensors
IEEE Access, 2020 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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IET Radar, Sonar & Navigation, 2021 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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2D MIMO Radar with Coprime Arrays [PDF]
2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM), 2018 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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