Iomt-net: Blockchain-integrated unauthorized uav localization using lightweight convolution neural network for internet of military things

R Akter, M Golam, VS Doan, JM Lee… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) contributes substantial strategic benefits on the Internet of
Military Things (IoMT). However, the untrusted party's misuse of the UAV may violate the …

Sparsity-based two-dimensional DOA estimation for coprime array: From sum–difference coarray viewpoint

J Shi, G Hu, X Zhang, F Sun… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper addresses the issue of two-dimensional (2-D) direction of arrival (DOA)
estimation with coprime planar arrays (CPPAs) via sparse representation. Our work differs …

Two-dimensional DOA estimation using two parallel nested arrays

Z Zheng, S Mu - IEEE Communications Letters, 2019 - ieeexplore.ieee.org
In this letter, we propose a new method for two-dimensional (2-D) direction-of-arrival (DOA)
estimation using two parallel nested arrays. In this method, an augmented covariance matrix …

Uncovering the structural and binding insights of dual inhibitors simultaneously targeting two distinct sites on EGFR kinase

KK Bhanja, M Sharma, N Patra - The Journal of Physical …, 2023 - ACS Publications
Epidermal growth factor receptor (EGFR) is the first growth factor receptor identified in
normal cells that is related to the receptor tyrosine kinase, which causes regular cell division …

2-D DOA estimation for L-shaped array with array aperture and snapshots extension techniques

YY Dong, C Dong, W Liu, H Chen… - IEEE Signal Processing …, 2017 - ieeexplore.ieee.org
A two-dimensional (2-D) direction of arrival estimation method for L-shaped array with
automatic pairing is proposed. It exploits the conjugate symmetry property of the array …

2-D direction finding using parallel nested arrays with full co-array aperture extension

J He, L Li, T Shu - Signal Processing, 2021 - Elsevier
Sparse arrays, such as nested arrays, are able to resolve more sources than sensors
because their difference co-arrays can provide O (L 2) degrees-of-freedom (DOFs) with L …

A tensor-based approach to L-shaped arrays processing with enhanced degrees of freedom

W Rao, D Li, JQ Zhang - IEEE Signal Processing Letters, 2017 - ieeexplore.ieee.org
A new tensor-based approach, which is capable of significantly increasing the degrees of
freedom (DOF) of an L-shaped array consisting of two orthogonal uniform linear arrays …

L-shaped sparse array structure for 2-D DOA estimation

F Wu, F Cao, X Ni, C Chen, Y Zhang, J Xu - IEEE Access, 2020 - ieeexplore.ieee.org
In order to improve the performance of two-dimensional (2-D) direction-of-arrival (DOA)
estimation, an L-shaped sparse array structured by two new sparse linear arrays is …

An efficient MUSIC algorithm enhanced by iteratively estimating signal subspace and its applications in spatial colored noise

X Zhang, D Feng - Remote Sensing, 2022 - mdpi.com
The classical multiple signal classification (MUSIC) algorithms mainly have two limitations.
One is an insufficient number of snapshots, which usually causes an ill-posed sample …

Tensor-based 2D DOA estimation for L-shaped nested array

F Xu, H Zheng, SA Vorobyov - IEEE Transactions on Aerospace …, 2023 - ieeexplore.ieee.org
Among various sensor array configurations, the L-shaped nested array offers improved
performance for 2-D direction-of-arrival (DOA) estimation through co-array processing …