Results 31 to 40 of about 3,462 (189)

Short-range Radar Detection with (M, N)-Coprime Array Configurations

open access: yesLeida xuebao, 2016
An (M, N)-coprime array comprises two well-organized subarrays: an M-element and an N-element. This sparse array configuration is capable of resolving a number of remote sources up to O(MN) solely with the use of an M + N – 1 sensors, which allows the ...
Wang Longgang, Li Lianlin
doaj   +1 more source

Asymptotically MDS Array BP-XOR Codes [PDF]

open access: yes, 2017
Belief propagation or message passing on binary erasure channels (BEC) is a low complexity decoding algorithm that allows the recovery of message symbols based on bipartite graph prunning process.
Arslan, Suayb S.
core   +2 more sources

Beamforming interferometry bathymetry method based on multi-coprime sensor array

open access: yesInternational Journal of Distributed Sensor Networks, 2019
Recently, coprime array has been a popular research field in the application of direction-of-arrival estimation. Compared with uniform linear array, coprime array can be used to expand array aperture with fewer sensors, and it also has a nice direction ...
Tian Zhou   +4 more
doaj   +1 more source

Coherent direction of arrival estimation based on low‐rank matrix recovery utilising L2‐norm with moving coprime arrays

open access: yesIET Radar, Sonar & Navigation, 2023
In this article, an effective algorithm is proposed for direction‐of‐arrival (DOA) estimation of coherent signals using the l2‐norm with moving coprime arrays.
Youzhen Yang   +3 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

Frequency Diverse Coprime Arrays With Coprime Frequency Offsets for Multitarget Localization

open access: yesIEEE Journal of 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.
Qin, Si   +3 more
openaire   +1 more source

Improved Coprime Arrays With Reduced Mutual Coupling Based on the Concept of Difference and Sum Coarray

open access: yesIEEE Access, 2019
As is well known, the prototype coprime arrays consist of two collinear subarrays, whose physical sensor number is coprime to each other. Moreover, their larger inter-element separations and physical array apertures make them have less mutual coupling ...
Weijian Si   +3 more
doaj   +1 more source

Minimum Mean-Squared-Error autocorrelation processing in coprime arrays [PDF]

open access: yesDigital Signal Processing, 2021
Coprime arrays enable Direction-of-Arrival (DoA) estimation of an increased number of sources. To that end, the receiver estimates the autocorrelation matrix of a larger virtual uniform linear array (coarray), by applying selection or averaging to the physical array's autocorrelation estimates, followed by spatial-smoothing.
Dimitris G. Chachlakis   +3 more
openaire   +2 more sources

Efficient Gridless 2-D Direction-of-Arrival Estimation for Coprime Array Based on Decoupled Atomic Norm Minimization

open access: yesIEEE Access, 2020
This paper presents an efficient gridless sparse reconstruction algorithm for the coprime planar array in two-dimensional (2-D) direction-of-arrival (DOA) estimation problem.
Aihong Lu, Yan Guo, Ning Li, Sixing Yang
doaj   +1 more source

CAWE-ACNN Algorithm for Coprime Sensor Array Adaptive Beamforming. [PDF]

open access: yesSensors (Basel)
This paper presents a robust adaptive beamforming algorithm based on an attention convolutional neural network (ACNN) for coprime sensor arrays, named the CAWE-ACNN algorithm. In the proposed algorithm, via a spatial and channel attention unit, an ACNN model is constructed to enhance the features contributing to beamforming weight vector estimation and
Liu F   +5 more
europepmc   +4 more sources

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