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High-Resolution and Robust One-Bit Direct-of-Arrival Estimation via Reweighted Atomic Norm Estimation. [PDF]
Li R, Yang J, Dai Z, Lu X, Tan K, Su W.
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Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation
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-uniformity of the derived virtual array, resulting in an inevitable estimation performance loss. To address this issue, we
Chengwei Zhou, Yujie Gu, Zhiguo Shi
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Frequency Diverse Coprime Arrays With Coprime Frequency Offsets for Multitarget Localization [PDF]
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.
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Coprime Nested Arrays for DOA Estimation: Exploiting the Nesting Property of Coprime Array
IEEE Signal Processing Letters, 2022Zhe Peng, Yingtao Ding, Shiwei Ren
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Rearranged coprime array to increase degrees of freedom and reduce mutual coupling
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.
Pascal Chargé, Yide Wang
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Thinned Coprime Array for Second-Order Difference Co-Array Generation With Reduced Mutual Coupling [PDF]
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 ...
Ahsan Raza, Wei Liu, Qing Shen
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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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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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Generalized Thinned Coprime Array for DOA Estimation
ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021Owing to the large degrees of freedom and reduced mutual coupling by producing difference coarrays, nonuniform linear arrays have aroused great interest in direction of arrival (DOA) estimation. Previous works have presented some new sparse arrays, such as the thinned coprime array.
Junpeng Shi +5 more
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