Results 21 to 30 of about 256 (131)
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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Beamforming interferometry bathymetry method based on multi-coprime sensor array
International Journal of Distributed Sensor Networks, 2019 Recently, coprime array has been a popular research field in the application of direction-of-arrival estimation. Compared with uniform linear array, coprime array can be used to expand array aperture with fewer sensors, and it also has a nice direction ...
Tian Zhou +4 more
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Short-range Radar Detection with (M, N)-Coprime Array Configurations
Leida xuebao, 2016 An (M, N)-coprime array comprises two well-organized subarrays: an M-element and an N-element. This sparse array configuration is capable of resolving a number of remote sources up to O(MN) solely with the use of an M + N – 1 sensors, which allows the ...
Wang Longgang, Li Lianlin
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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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IEEE Access, 2019 As is well known, the prototype coprime arrays consist of two collinear subarrays, whose physical sensor number is coprime to each other. Moreover, their larger inter-element separations and physical array apertures make them have less mutual coupling ...
Weijian Si +3 more
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IET Radar, Sonar & Navigation, 2023 In this article, an effective algorithm is proposed for direction‐of‐arrival (DOA) estimation of coherent signals using the l2‐norm with moving coprime arrays.
Youzhen Yang +3 more
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IEEE Access, 2020 This paper presents an efficient gridless sparse reconstruction algorithm for the coprime planar array in two-dimensional (2-D) direction-of-arrival (DOA) estimation problem.
Aihong Lu, Yan Guo, Ning Li, Sixing Yang
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Frequency Diverse Coprime Arrays With Coprime Frequency Offsets for Multitarget Localization
IEEE Journal of Selected Topics in Signal Processing, 2017 Different from conventional phased-array radars, the frequency diverse array (FDA) radar offers a range-dependent beampattern capability that is attractive in various applications. The spatial and range resolutions of an FDA radar are fundamentally limited by the array geometry and the frequency offset.
Si Qin +3 more
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DOA estimation method of spatial spectrum product for distributed coprime linear array
Xibei Gongye Daxue Xuebao, 2021 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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Spatial‐Frequency Estimation for OFDM System with Coprime Array
Wireless Communications and Mobile Computing, 2021 Orthogonal frequency division multiplexing (OFDM) is the key technique of the communication system. In this paper, coprime array is designed in OFDM system to obtain joint direction of arrival (DOA) and carrier frequency offset (CFO) estimates. The proposed system can achieve beamforming and adaptive signal processing, reduce the multipath fading, and ...
Gang Shao +4 more
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