Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays
The Bayesian compressive sensing (BCS) is applied to estimate the directions of arrival (DoAs) of narrow-band electromagnetic signals impinging on planar antenna arrangements. Starting from the measurement of the voltages induced at the output of the array elements, the performance of the BCS-based...
Saved in:
Main Authors: | Matteo Carlin, Paolo Rocca, Giacomo Oliveri, Andrea Massa |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/245867 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Direction-of-Arrival Estimation for Coherent Sources via Sparse Bayesian Learning
by: Zhang-Meng Liu, et al.
Published: (2014-01-01) -
SAGE-Based Algorithm for Direction-of-Arrival Estimation and Array Calibration
by: Kunlai Xiong, et al.
Published: (2014-01-01) -
Tensor‐based direction of arrival estimation with array virtual translation technique
by: Guimei Zheng, et al.
Published: (2022-07-01) -
2D Direction of Arrival Estimation for Cross Array in the Presence of Mutual Coupling
by: Weiwei Hu, et al.
Published: (2014-01-01) -
Reduced-Complexity Direction of Arrival Estimation Using Real-Valued Computation with Arbitrary Array Configurations
by: Feng-Gang Yan, et al.
Published: (2018-01-01)