A Robust CS-DOA Method for Multi-UAV-Assisted Agricultural Vehicle Localization in Smart Tillage. [PDF]
Sensors (Basel)Zhang J +8 more
europepmc +1 more source
Underwater acoustic vector DOA estimation in hybrid noise environments based on sparsely-gated mixture-of-experts mechanism. [PDF]
Sci RepXu W, Yi S, Gu H, Wang C, Zhang Z.
europepmc +1 more source
Enhanced Lateral Resolution in Acoustic Imaging: From High- to Super-Resolution. [PDF]
Sensors (Basel)Xia Z, He H, Zhou Z, Pan S, Zhang S.
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Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation
IEEE Transactions on Signal Processing, 2018 © 2018 IEEE. Coprime arrays can achieve an increased number of degrees of freedom by deriving the equivalent signals of a virtual array. However, most existing methods fail to utilize all information received by the coprime array due to the non ...
Zhiguo Shi, Guoqiang Mao, Yimin D. Zhang
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Coprime Nested Arrays for DOA Estimation: Exploiting the Nesting Property of Coprime Array
IEEE Signal Processing Letters, 2022Yingtao Ding, Zhe Peng, Shiwei Ren
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Frequency Diverse Coprime Arrays With Coprime Frequency Offsets for Multitarget Localization
IEEE Journal on 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.
Moeness Amin +2 more
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Rearranged Coprime Array to Increase Degrees of Freedom and Reduce Mutual Coupling
Signal Processing, 2021 International audienceCoprime array for direction of arrivals nding has attracted increasing interest since it can provide enhanceddegrees of freedom. However, due to the holes in the dierence coarray, the available information is notfully exploited.
Zhe Fu, Yide Wang, Pascal Chargé
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Unitary Esprit for Coprime Arrays
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023Coprime arrays are normally used to identify more sources than sensors, using the coarray domain. They can also be used directly in element-space and still have benefits of better accuracy and resolution compared to ULAs. An invariance is buried in each of the two sparse ULAs which constitute a coprime array. In this paper, ESPRIT is applied separately
Po-Chih Chen, P. P. Vaidyanathan
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Thinned Coprime Array for Second-Order Difference Co-Array Generation With Reduced Mutual Coupling [PDF]
IEEE Transactions on Signal Processing, 2019 In this work, we present a new coprime array structure termed thinned coprime array (TCA), which exploits the redundancy in the structure of existing coprime array and achieves the same virtual aperture and degrees of freedom (DOFs) as the conventional ...
Qing Shen, Ahsan Raza, Wei Liu
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DOA estimation in the autocorrelation domain for coprime array
Digital Signal Processing, 2021Abstract In this paper a new algorithm for direction of arrival (DOA) estimation in coprime arrays based on the autocorrelation domain (AD) method is proposed. The spatial autocorrelation sequence of the virtual uniform linear array (ULA) associated with the coprime array is built by averaging the diagonals of the spatially smoothed covariance matrix.
Kimia Hamouleh Kheirollahpour +2 more
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