Results 21 to 30 of about 2,027 (176)

n-tuple coprime sensor arrays [PDF]

open access: yesThe Journal of the Acoustical Society of America, 2017
Until now, coprime sensor arrays have used two sparsely spaced subarrays to emulate the performance of a single uniform array with many more sensors (generally on the order of the product of each subarrays' number of sensors). This allows for similar results with fewer sensors, or the observation of higher frequencies (above the Nyquist limit) with a ...
Dane, Bush, Ning, Xiang
openaire   +2 more sources

Blind signal separation for coprime planar arrays: An improved coupled trilinear decomposition method

open access: yesETRI Journal, 2023
In this study, the problem of blind signal separation for coprime planar arrays is investigated. For coprime planar arrays comprising two uniform rectangular subarrays, we link the signal separation to the tensor-based model called coupled canonical ...
Zhongyuan Que   +2 more
doaj   +1 more source

3D Coprime Arrays in Sparse Sensing [PDF]

open access: yesICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Coprime arrays are a class of sensor arrays that play a crucial role in various signal processing tasks because of their desirable properties such as sparsity and increased degrees of freedom (DOF) of coarrays. In this contribution, a new class of three-dimensional (3D) arrays is constructed from pure cubic fields.
Li, C, Gan, L, Ling, C
openaire   +2 more sources

Robust Direction-of-Arrival Estimation for Coprime Array in the Presence of Miscalibrated Sensors

open access: yesIEEE Access, 2020
Coprime arrays have been widely adopted for direction-of-arrival (DOA) estimation since it can achieve an increased number of degrees of freedom (DOF).
Jiaxun Kou, Ming Li, Chunlan Jiang
doaj   +1 more source

Robust space‐time adaptive processing for airborne radar with coprime arrays in presence of gain and phase errors

open access: yesIET Radar, Sonar & Navigation, 2021
Space‐time adaptive processing (STAP) for sparse arrays such as coprime and nested arrays is shown to have improved performance for clutter suppression in airborne radar as compared with uniform linear arrays with the same size.
Xiaoye Wang   +2 more
doaj   +1 more source

DOA estimation method of spatial spectrum product for distributed coprime linear array

open access: yesXibei 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
doaj   +1 more source

Spatial Information and Performance Evaluation in Coprime Array [PDF]

open access: yesMathematical Problems in Engineering, 2020
In this paper, the mutual information between the received signals and the source in the coprime linear array is investigated. In Shannon’s information theory, the mutual information is used to quantify the reduction in the priori uncertainty of the transmitted message.
Ying Zhou   +4 more
openaire   +1 more source

Enhanced CACIS configuration for direction of arrival estimation

open access: yesElectronics Letters, 2022
In this letter, an enhanced coprime array with compressed inter‐element spacing is designed for direction of arrival estimation. First, we analyse and conclude that the 0th sensor of coprime array with compressed inter‐element spacing is redundant for ...
Yule Zhang   +3 more
doaj   +1 more source

Array Shading to Maximize Deflection Coefficient for Broadband Signal Detection With Conventional Beamforming

open access: yesIEEE Access, 2021
This paper develops and applies a numerical optimization procedure to compute broadband noise-adaptive weights for delay and sum beamforming that are conditioned to maximize the deflection coefficient at the output of a square law detector for a given ...
Kaushallya Adhikari   +4 more
doaj   +1 more source

Super Nested Arrays: Sparse arrays with Less Mutual Coupling than Nested Arrays [PDF]

open access: yes, 2016
In array processing, mutual coupling between sensors has an adverse effect on the estimation of parameters (e.g., DOA). Sparse arrays, such as nested arrays, coprime arrays, and minimum redundancy arrays (MRAs), have reduced mutual coupling compared to ...
Liu, Chun-Lin, Vaidyanathan, P. P.
core   +1 more source

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