A generalized noise reconstruction approach for robust DOA estimation
A generalized noise reconstruction approach is proposed for improved direction-of-arrival
(DOA) estimation. First, coarse estimation of the noise component in the received data is …
(DOA) estimation. First, coarse estimation of the noise component in the received data is …
[HTML][HTML] Field Programmable Gate Array (FPGA) Implementation of Parallel Jacobi for Eigen-Decomposition in Direction of Arrival (DOA) Estimation Algorithm
S Zhou, L Zhou - Remote Sensing, 2024 - mdpi.com
The eigen-decomposition of a covariance matrix is a key step in the Direction of Arrival
(DOA) estimation algorithms such as subspace classes. Eigen-decomposition using the …
(DOA) estimation algorithms such as subspace classes. Eigen-decomposition using the …
MD-DOA: A Model-based Deep Learning DOA Estimation Architecture
X Xu, Q Huang - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Direction-of-arrival (DOA) estimation is widely used in the field of array signal processing.
The model-based (MB) algorithms rely on domain knowledge and assumptions, facing …
The model-based (MB) algorithms rely on domain knowledge and assumptions, facing …
Application of MUSIC-type imaging for anomaly detection without background information
WK Park - Computers & Mathematics with Applications, 2024 - Elsevier
It has been demonstrated that the MUltiple SIgnal Classification (MUSIC) algorithm is fast,
stable, and effective for localizing small anomalies in microwave imaging. For the successful …
stable, and effective for localizing small anomalies in microwave imaging. For the successful …
Parameter Estimation via Dictionary Subspace Projection for Sonar Target Angle Estimation
H Ji, L Wang, S Zhang, C Peng… - 2024 9th International …, 2024 - ieeexplore.ieee.org
The beamforming obtains the azimuth estimation of the target by extracting the information
from the data covariance matrix. However, the beamforming has much-unextracted …
from the data covariance matrix. However, the beamforming has much-unextracted …