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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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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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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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Expressions of the Smarandache Coprime Function [PDF]
, 2000 \Ye see two expressions of the Smarandache Coprime Function for k=2 ...
Ruiz, S.M.
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The configuration of a coprime vector sensor array.
, 2023 The configuration of a coprime vector sensor array.
Yujie Chen (1552645) +4 more
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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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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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Beamforming with semi-coprime arrays [PDF]
The Journal of the Acoustical Society of America, 2019 A semi-coprime array (SCA) interleaves two undersampled uniform linear arrays (ULAs) and a Q-element standard ULA. The undersampling factors of the first two arrays are QM and QN, respectively, where M and N are coprime. The resulting non-ULA is highly sparse.
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Design of coprime DFT arrays and filter banks [PDF]
2014 48th Asilomar Conference on Signals, Systems and Computers, 2014 Coprime arrays offer degrees of freedom of O(MN) given O(M +N) sensors, where M and N are coprime integers. The performance of coprime arrays is based on coprime DFT filter banks (coprime DFTFBs), which cascade an M-channel DFTFB and an N-channel DFTFB to achieve MN-channel filter banks.
Chun-Lin Liu, P. P. Vaidyanathan
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