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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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Iterative Weighted l1 Norm Constraint for Direction-of-Arrival Estimation with Sparse Coprime Array [PDF]
Jisuanji gongcheng, 2017 The sparse coprime array with determined elements can increase the array aperture.In order to make full use of the coprime relationship of the array to form differential coprime synthetic array with more degrees of freedom,this paper exploits the method ...
LIU Qinghua,ZHOU Xiuqing
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Spatial Information and Performance Evaluation in Coprime Array [PDF]
Mathematical Problems in Engineering, 2020 In this paper, the mutual information between the received signals and the source in the coprime linear array is investigated. In Shannon’s information theory, the mutual information is used to quantify the reduction in the priori uncertainty of the transmitted message.
Ying Zhou +4 more
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IET Radar, Sonar & Navigation, 2022 Compared with the uniform linear array (ULA) under the same physical array element, the coprime array can obtain a higher degree of freedom and a larger array aperture, so it has received extensive attention from scholars in recent years.
Yuxi Du +4 more
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Cramér-Rao Bound of Joint DOA-Range Estimation for Coprime Frequency Diverse Arrays
Remote Sensing, 2022 Frequency diverse array (FDA) produces a beampattern with controllable direction and range by slightly shifting the carrier frequencies across the elements, which is attractive in many applications.
Zihuan Mao +3 more
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Leida xuebao, 2019 Array signal processing is an essential tool in broad radar applications. The coprime array has recently been proposed to overcome the bottleneck caused by the Nyquist spatial sampling rate.
ZHOU Chengwei +4 more
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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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Direction of Arrival Estimation of Quasi-Stationary Signals Using Unfolded Coprime Array
IEEE Access, 2017 Direction of arrival (DOA) estimation of quasi-stationary signals (QSS) is discussed in this paper, and an algorithm using unfolded coprime array is proposed.
Jianfeng Li, Xiaofei Zhang
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Super Nested Arrays: Sparse arrays with Less Mutual Coupling than Nested Arrays [PDF]
, 2016 In array processing, mutual coupling between sensors has an adverse effect on the estimation of parameters (e.g., DOA). Sparse arrays, such as nested arrays, coprime arrays, and minimum redundancy arrays (MRAs), have reduced mutual coupling compared to ...
Liu, Chun-Lin, Vaidyanathan, P. P.
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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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