Results 161 to 170 of about 497 (197)
Frequency Diverse Coprime Arrays With Coprime Frequency Offsets for Multitarget Localization [PDF]
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.
Si Qin, Yimin D Zhang, Moeness G Amin
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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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Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation
IEEE Transactions on Signal Processing, 2018 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 +5 more
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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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Hole Locations and a Filling Method for Coprime Planar Arrays for DOA Estimation
IEEE Communications Letters, 2021 International audienceCoprime linear arrays (CLAs) have drawn lots ofattention. Efforts have been made to reveal the hole locations inthe difference coarrays of CLAs, based on which many methodshave been proposed to fill the holes, lengthening the ...
Xiao Yang, Yide Wang, Pascal Chargé
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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 ...
Ahsan Raza, Ｗei Liu, Qing Shen
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Coprime arrays and samplers for space-time adaptive processing
, 2015 This paper extends the use of coprime arrays and samplers for the case of moving sources. Space-time adaptive processing (STAP) plays an important role in estimating direction-of-arrivals (DOAs) and radial velocities of emitting sources.
Chun-Lin Liu, 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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Improved coprime-like arrays on limited platform
Signal ProcessingZhengchun Zhou, Avik Ranjan Adhikary
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