CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12970 > Article
Paper
21 December 2023 On functional MVDR beamforming method with high-resolution performance and interference-suppression ability
Shen Zhao, Haoran Zhu, Wei Li, Yemei Qin
Author Affiliations +
Proceedings Volume 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023); 129700Z (2023) https://doi.org/10.1117/12.3012084
Event: Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 2023, Guilin, China
Abstract
A novel spatial interference suppression algorithm has been proposed to address the challenges of conventional beamforming(CBF) methods, such as wide main lobes, high sidelobes, low resolution, and inadequate interference suppression capability. The algorithm combines the reconstruction of covariance matrices with functional beamforming method. Firstly, virtual interference sources are artificially introduced in the interference area to reconstruct the covariance matrix with added noise, leveraging the principle of automatic nulling in Minimum Variance Distortionless Response (MVDR), which suppresses strong interferences effectively. Subsequently, the reconstructed covariance matrix is subjected to eigenvalue decomposition and integrated with the functional beamforming approach. The eigenvalue matrix is raised to the power of v-1 to obtain refined weight vectors, which are then employed for beamforming. The beamformed results are raised to the power of v to restore the information of source distribution, thereby enhancing beam resolution. The algorithm demonstrates its capability to effectively suppress sidelobe interference in intense noise environments and achieve high-resolution beamforming through simulation and experimental validation.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Shen Zhao, Haoran Zhu, Wei Li, and Yemei Qin "On functional MVDR beamforming method with high-resolution performance and interference-suppression ability", Proc. SPIE 12970, Fourth International Conference on Signal Processing and Computer Science (SPCS 2023), 129700Z (21 December 2023); https://doi.org/10.1117/12.3012084
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 7 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Spatial filtering
Covariance matrices
Reconstruction algorithms
Picosecond phenomena
Detection and tracking algorithms
Computer simulations
Spatial resolution
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top