Journal ArticleDOI
Robust Wideband Adaptive Beamforming With Null Broadening and Constant Beamwidth
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In this paper, a robust wideband adaptive beamforming with null broadening and constant beamwidth is proposed, where the reference frequency and number of virtual interferences of taper matrix are determined based on numerical methods.Abstract:
In the cases of rapidly moving interference and look-direction error, robustness and output signal to interference and noise ratio (SINR) of conventional wideband adaptive beamforming methods are degraded severely. In order to solve these problems, a robust wideband adaptive beamforming with null broadening and constant beamwidth is proposed. We first propose a taper matrix constructed by adding virtual interferences for null broadening, where the reference frequency and number of virtual interferences of taper matrix are determined based on numerical methods. This is followed by reconstructing the array covariance matrix based on taper matrix. Spatial response variation (SRV) constraint is then applied for a constant beamwidth over the entire frequency band. Finally, the adaptive weight vector for null broadening and constant beamwidth is obtained by using Lagrange multiplier method. The effectiveness of proposed method is verified by numerical simulations.read more
Citations
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Journal ArticleDOI
Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources
TL;DR: A novel null broadening beamforming method based on reconstruction of the interference-plus-noise covariance (INC) matrix is proposed, in order to broaden the null width and offset the motion of the interfering signals.
Journal ArticleDOI
Robust Adaptive Null Broadening Method Based on FDA-MIMO Radar
TL;DR: A null broadening method with robust adaptive beamforming for frequency diverse array (FDA)-multiple-input and multiple-output (MIMO) systems is proposed and a new convex optimization model is established and solved to estimate the desired steering vector.
Journal ArticleDOI
Robust Wideband Adaptive Beamforming Based on Focusing Transformation and Steering Vector Compensation
TL;DR: A robust wideband adaptive beamforming method is proposed based on focusing transformation and steering vector compensation that would deteriorate severely when the desired signal is contained in the training snapshots, especially the mismatched signal steering vector existed simultaneously.
Journal ArticleDOI
Adaptive broadband frequency invariant beamforming using nulling-broadening and frequency constraints
TL;DR: In this article , an adaptive frequency invariant beamformer (FIB) was proposed to obtain undistorted responses to broadband signal of interests (SOIs) and constant beamwidths over an entire frequency band without pre-steering delays.
Journal ArticleDOI
Wideband frequency-invariant beamforming with dynamic range ratio constraints
TL;DR: This paper proposes a novel iterative algorithm to solve the resulting high-dimensional non-convex optimization problems via alternately handling a tractable problem and a multi-constrained convex subproblem with good convergence and excellent FI of obtained beampattern under the DRR constraints.
References
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Coherent signal-subspace processing for the detection and estimation of angles of arrival of multiple wide-band sources
H. Wang,Mostafa Kaveh +1 more
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Book
Wideband Beamforming: Concepts and Techniques
Wei Liu,Stephan Weiss +1 more
TL;DR: In this paper, the authors address the fundamentals and most recent developments in the field of wideband beamforming and provide an excellent reference for all professionals working in the area of array signal processing and its applications in wireless communications.
Journal ArticleDOI
Theory and application of covariance matrix tapers for robust adaptive beamforming
TL;DR: This work unify several seemingly disparate approaches to robust adaptive beamforming through the introduction of the concept of a "covariance matrix taper (CMT)", establishing that CMTs are, in fact, the solution to a minimum variance optimum beamformer associated with an auxiliary stochastic process that is related to the original by a Hadamard (Schur) product.
Reply to "Comments on 'Theory and Application of Covariance Matrix Tapers for Robust Adaptive Beamforming'"
TL;DR: In this article, the autoregressive estimation for periodically correlated processes, using the parameterization given by the partial autocorrelation function, is considered, and the comparison with other methods is made.
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