[HTML][HTML] Innovative approaches for reducing wind turbine noise: A review from mechanical and aerodynamic perspective
Although wind energy is considered as one of the cleanest forms of energy, the noise
generated from wind farms, if not mitigated, adversely affects the nearby environment …
generated from wind farms, if not mitigated, adversely affects the nearby environment …
[HTML][HTML] Robust Direction Estimation of Terrestrial Signal via Sparse Non-Uniform Array Reconfiguration under Perturbations
R Lang, H Xu, F Gao - Remote Sensing, 2024 - mdpi.com
DOA (Direction of Arrival), as an important observation parameter for accurately locating the
Signals of Opportunity (SOP), is vital for navigation in GNSS-challenged environments and …
Signals of Opportunity (SOP), is vital for navigation in GNSS-challenged environments and …
Deep neural networks for direction of arrival estimation of multiple targets with sparse prior for line-of-sight scenarios
Received signal Direction of Arrival (DOA) estimation represents a significant problem with
multiple applications, ranging from wireless communications to radars. This problem …
multiple applications, ranging from wireless communications to radars. This problem …
Sparse array mutual coupling reduction
C Larmour, N Buchanan, V Fusco… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
This paper provides a concise overview of recent developments in sparse antenna arrays,
with a specific focus on techniques for reducing mutual coupling. It explores the concept and …
with a specific focus on techniques for reducing mutual coupling. It explores the concept and …
Two-dimensional doa estimation via matrix completion and sparse matrix recovery for coprime planar array
D Liu, Y Zhao - IEEE Transactions on Vehicular Technology, 2023 - ieeexplore.ieee.org
The coprime planar array (CPPA) can obtain a larger virtual aperture using the sum-
difference co-array (SDCA). Nonetheless, the holes in the SDCA always cause the virtual …
difference co-array (SDCA). Nonetheless, the holes in the SDCA always cause the virtual …
Two-dimensional DOA estimation method of acoustic vector sensor array based on sparse recovery
L Liang, Y Shi, Y Shi, Z Bai, W He - Digital Signal Processing, 2022 - Elsevier
In order to solve the Direction of Arrival (DOA) estimation of fast-moving targets in a strong
noisy environment, an auto-paired two-dimensional (2D) DOA estimation algorithm …
noisy environment, an auto-paired two-dimensional (2D) DOA estimation algorithm …
Quantum amplitude estimation from classical signal processing
We demonstrate that the problem of amplitude estimation, a core subroutine used in many
quantum algorithms, can be mapped directly to a problem in signal processing called …
quantum algorithms, can be mapped directly to a problem in signal processing called …
4D automotive radar exploiting sparse array optimization and compressive sensing
Automotive radar systems require high resolution in four dimensions: range, Doppler,
elevation and azimuth. The angular resolution of an automotive radar are determined by the …
elevation and azimuth. The angular resolution of an automotive radar are determined by the …
Cooperative vehicle localization method based on coprime polarized MIMO systems for internet-of-vehicles
X Yan, X Zhu, H Zhai, C Wang, J Wang, X Zhou - Physical Communication, 2022 - Elsevier
Vehicle position awareness is a kernel technique for the Internet-of-Vehicles (IOV). In this
paper, we develop a novel vehicle localization framework, the core of which is to measure …
paper, we develop a novel vehicle localization framework, the core of which is to measure …
[PDF][PDF] Direction-of-Arrival Estimation via Sparse Bayesian Learning Exploiting Hierarchical Priors with Low Complexity
N Li, X Zhang, F Lv, B Zong - Sensors, 2024 - mdpi.com
For direction-of-arrival (DOA) estimation problems in a sparse domain, sparse Bayesian
learning (SBL) is highly favored by researchers owing to its excellent estimation …
learning (SBL) is highly favored by researchers owing to its excellent estimation …