Generalized L-Shaped Nested Array Concept Based on the Fourth-Order Difference Co-Array [PDF]
Sensors, 2018 In this paper, a generalized L-shaped nested array based on the fourth-order difference co-array is proposed for two-dimensional (2D) directions’ estimation.
Lei Zhang +4 more
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Computationally Efficient Sources Location Method for Nested Array via Massive Virtual Difference Co-Array [PDF]
Sensors, 2019 In this paper, we derive the discrete Fourier transform (DFT) method for direction of arrival (DOA) estimation by generating the massive virtual difference co-array with the nested array. By contrast with the spatial smoothing (SS) subspace-based methods
Wei Wu +3 more
doaj +5 more sources
Direction of Arrival Estimation of Generalized Nested Array via Difference–Sum Co-Array
Sensors, 2023 To address the weakness that the difference co-array (DCA) only enhances the degrees of freedom (DOFs) to a limited extent, a new configuration called the generalized nested array via difference–sum co-array (GNA-DSCA) is proposed for direction of ...
Yule Zhang +5 more
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A Novel Nested Configuration Based on the Difference and Sum Co-Array Concept [PDF]
Sensors, 2018 Recently, the concept of the difference and sum co-array (DSCa) has attracted much attention in array signal processing due to its high degree of freedom (DOF).
Zhenhong Chen +3 more
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Extension of Co-Prime Arrays Based on the Fourth-Order Difference Co-Array Concept [PDF]
IEEE Signal Processing Letters, 2016 An effective sparse array extension method for maximizing the number of consecutive lags in the fourth-order difference co-array is proposed, leading to a novel enhanced sparse array structure based on co-prime arrays (CPAs) with significantly increased number of degrees of freedom (DOFs). One method to exploit the increased DOFs based on nonstationary
Qing Shen, Ｗei Liu, Wei Cui
exaly +3 more sources
IEEE Access, 2018 In this paper, a novel array structure exploiting coprime arrays is proposed which can be very proficient to determine the number of consecutive lags in proportion with the number of array elements.
Tarek Hasan Al Mahmud +4 more
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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 coprime array with much fewer number of sensors.
Ahsan Raza, Ｗei Liu, Qing Shen
exaly +3 more sources
Underdetermined DOA Estimation Using Unfold Coprime Array From the Perspective of Sum-Difference Co-Array [PDF]
IEEE Access, 2019 Direction-of-Arrival (DOA) estimation with sparse non-uniform linear arrays (SNLAs) has recently attracted a growing concern for the reason that more sources than the number of physical sensors can be resolved as compared with the conventional uniform ...
Pinjiao Zhao +3 more
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A DOA Estimation Method for Sparse Array Based on DFT Spectrum of Received Signals
IEEE Access, 2022 In the direction of arrival (DOA) estimation of sparse array received signals, the estimation accuracy of the grid search method in compressed sensing is improved with the increase of over-complete redundant dictionary elements.
Liye Zhang +4 more
doaj +1 more source