☆ 4.3 Article

New convex approaches to general MVDR robust adaptive beamforming problems

ELECTRONICS LETTERS (2023)

Related references

Note: Only part of the references are listed.

Article Engineering, Electrical & Electronic

Twenty-Five Years of Advances in Beamforming: From convex and nonconvex optimization to learning techniques

Ahmet M. Elbir et al.

Summary: Beamforming is a signal processing technique that uses an array of sensors to steer electromagnetic waves towards a desired direction. It has been widely applied in various engineering fields, such as radar, sonar, acoustics, astronomy, seismology, medical imaging, and communications. The design of beamformers has evolved from convex to nonconvex optimization methods, and recently, machine learning has also been utilized for more complex beamforming scenarios. This article provides an overview of the development of beamforming techniques and their applications in different fields.

IEEE SIGNAL PROCESSING MAGAZINE (2023)

Add to Collection

Proceedings Paper Acoustics

ROBUST ADAPTIVE BEAMFORMING MAXIMIZING THEWORST-CASE SINR OVER DISTRIBUTIONAL UNCERTAINTY SETS FOR RANDOM INC MATRIX AND SIGNAL STEERING VECTOR

Yongwei Huang et al.

Summary: This paper considers the problem of robust adaptive beamforming by maximizing the worst-case signal-to-interference-plus-noise ratio (SINR) over distributional uncertainty sets for the random interference-plus-noise covariance (INC) matrix and desired signal steering vector. The problem is formulated as a quadratic matrix inequality and solved iteratively using linear matrix inequality relaxation. Simulation results demonstrate the improved performance of the proposed method.

2022 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) (2022)

Add to Collection

Article Acoustics

On the Robustness of the Superdirective Beamformer

Xi Chen et al.

Summary: This paper focuses on studying the robustness of the superdirective beamformer and deriving better ways to deal with this important issue. By proving that any distortionless fixed beamformer can be written as the sum of two orthogonal beamformers, the paper develops different kinds of robust superdirective beamformers. It also demonstrates that the robust design problem can be transformed into a quadratic eigenvalue problem, achieving the maximum possible directivity factor while meeting the white noise gain constraint over a frequency band of interest.

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2021)

Add to Collection

Article Engineering, Electrical & Electronic

New Designs on MVDR Robust Adaptive Beamforming Based on Optimal Steering Vector Estimation

Yongwei Huang et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2019)

Add to Collection

Article Engineering, Electrical & Electronic

A Distributionally Robust Minimum Variance Beamformer Design

Bin Li et al.

IEEE SIGNAL PROCESSING LETTERS (2018)

Add to Collection

Article Engineering, Electrical & Electronic

High-Dimensional MVDR Beamforming: Optimized Solutions Based on Spiked Random Matrix Models

Liusha Yang et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Interference-plus-Noise Covariance Matrix Reconstruction via Spatial Power Spectrum Sampling for Robust Adaptive Beamforming

Zhenyu Zhang et al.

IEEE SIGNAL PROCESSING LETTERS (2016)

Add to Collection

Article Engineering, Electrical & Electronic

Robust Adaptive Beamforming With a Novel Interference-Plus-Noise Covariance Matrix Reconstruction Method

Lei Huang et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2015)

Add to Collection

Article Engineering, Electrical & Electronic

Principles of minimum variance robust adaptive beamforming design

Sergiy A. Vorobyov

SIGNAL PROCESSING (2013)

Add to Collection

Article Engineering, Electrical & Electronic

Robust Adaptive Beamforming Based on Steering Vector Estimation With as Little as Possible Prior Information

Arash Khabbazibasmenj et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2012)

Add to Collection

Article Engineering, Electrical & Electronic

Robust Adaptive Beamforming Based on Interference Covariance Matrix Reconstruction and Steering Vector Estimation

Yujie Gu et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2012)

Add to Collection

Article Engineering, Electrical & Electronic

Rank-Constrained Separable Semidefinite Programming With Applications to Optimal Beamforming

Yongwei Huang et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2010)

Add to Collection

Article Engineering, Electrical & Electronic

Robust beamforming via worst-case SINR maximization

Seung-Jean Kim et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2008)

Add to Collection

Article Engineering, Electrical & Electronic

Doubly constrained robust capon beamformer with ellipsoidal uncertainty sets

Amir Beck et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2007)

Add to Collection

Article Engineering, Electrical & Electronic

Doubly constrained robust Capon beamformer

J Li et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2004)

Add to Collection

Article Engineering, Electrical & Electronic

Robust adaptive beamforming using worst-case performance optimization: A solution to the signal mismatch problem

SA Vorobyov et al.

IEEE TRANSACTIONS ON SIGNAL PROCESSING (2003)

Add to Collection

© Peeref 2019-2024. All rights reserved.