Results 81 to 90 of about 323 (173)
COPRIME ARRAYS WITH ENHANCED DEGREES OF FREEDOM
Coprime array geometries provide robust performance for direction-of-arrival estimation problem with more sources than sensor elements. In previous works it is shown that K source directions can be resolved using only 2M + N -1 sensor elements where K is less than or equal to MN.
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Nowadays, sparse arrays have been a focus for direction‐of‐arrival (DOA). The existing arrays can achieve high degree of freedom (DOF) bigger than the number of sensors when using the spatial smoothing methods.
Jin Zhang +4 more
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The authors propose a novel dual coprime frequency diverse array (FDA) multiple input multiple output (DCFDA‐MIMO) radar network design, empowered by cognitive capabilities, aimed at target discrimination and mitigation of interference present in the ...
Umair Hafeez Khan +4 more
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Efficient and Robust Adaptive Beamforming Based on Coprime Array Interpolation
Unlike uniform linear arrays (ULAs), coprime arrays require fewer physical sensors yet provide higher degrees of freedom (DOF) and larger array apertures.
Siming Chen +4 more
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Novel coprime MIMO configurations for DOA estimation with increased degrees of freedom
In this work, we propose some coprime multiple input multiple output (MIMO) configurations for direction-of-arrival (DOA) estimation, which achieve more degrees of freedom (DOF) than all the existing coprime MIMO configurations. We know that in a coprime
Rajen Kumar Patra, Anindya Sundar Dhar
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L-shaped coprime array structures for DOA estimation
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays. [PDF]
Hsu KC, Kiang JF.
europepmc +1 more source
Fast DOA Estimation Algorithms via Positive Incremental Modified Cholesky Decomposition for Augmented Coprime Array Sensors. [PDF]
Song J, Cao L, Zhao Z, Wang D, Fu C.
europepmc +1 more source
Sparse Sensing with Semi-Coprime Arrays
A semi-coprime array (SCA) interleaves two undersampled uniform linear arrays (ULAs) and a $Q$ element standard ULA. The undersampling factors of the first two arrays are $QM$ and $QN$ respectively where $M$ and $N$ are coprime. The resulting non-uniform linear array is highly sparse.
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DOA Estimation of Coherent Signals on Coprime Arrays Exploiting Fourth-Order Cumulants. [PDF]
Hu Y, Liu Y, Wang X.
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