Robust adaptive array beamforming under steering angle mismatch
Signal Processing
A robust minimum variance beamformer with new constraint on uncertainty of steering vector
Signal Processing - Signal processing in UWB communications
QoS-based resource allocation and transceiver optimization
Communications and Information Theory
A robust capon beamformer against uncertainty of nominal steering vector
EURASIP Journal on Applied Signal Processing
Broadband beamspace DOA estimation: frequency-domain and time-domain processing approaches
EURASIP Journal on Applied Signal Processing
Automatic robust adaptive beamforming via ridge regression
Signal Processing
MIMO transceiver design via majorization theory
Foundations and Trends in Communications and Information Theory
Robust linear MIMO in the downlink: a worst-case optimization with ellipsoidal uncertainty regions
EURASIP Journal on Advances in Signal Processing
Review of user parameter-free robust adaptive beamforming algorithms
Digital Signal Processing
Cutting-set methods for robust convex optimization with pessimizing oracles
Optimization Methods & Software
IEEE Transactions on Signal Processing
Robust adaptive beamformers based on worst-case optimization and constraints on magnitude response
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Worst-case robust MIMO transmission with imperfect channel knowledge
IEEE Transactions on Signal Processing
Spectrum sharing in wireless networks via QoS-aware secondary multicast beamforming
IEEE Transactions on Signal Processing
Robust QoS-constrained optimization of downlink multiuser MISO systems
IEEE Transactions on Signal Processing
On multicast beamforming for minimum outage
IEEE Transactions on Wireless Communications
Robust cognitive beamforming with partial channel state information
IEEE Transactions on Wireless Communications
A unified framework for designing FIR filters with arbitrary magnitude and phase response
Digital Signal Processing
Adaptive constrained learning in reproducing Kernel Hilbert spaces: the robust beamforming case
IEEE Transactions on Signal Processing
Robust beamforming in cognitive radio
IEEE Transactions on Wireless Communications
Robust Capon beamformer under norm constraint
Signal Processing
Robust beamforming methods for multipath signal reception
Digital Signal Processing
Robust adaptive beamforming in partly calibrated sparse sensor arrays
IEEE Transactions on Signal Processing
Collaborative null-steering beamforming for uniformly distributed wireless sensor networks
IEEE Transactions on Signal Processing
Noncircularity restoral for multi-antenna blind beamforming
Multidimensional Systems and Signal Processing
Super-Gaussian loading for robust beamforming
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Phased-MIMO radar: a tradeoff between phased-array and MIMO radars
IEEE Transactions on Signal Processing
Robust Adaptive Beamforming Under Quadratic Constraint with Recursive Method Implementation
Wireless Personal Communications: An International Journal
Robust adaptive beamforming for MIMO radar
Signal Processing
Robust MMSE precoding in MIMO channels with pre-fixed receivers
IEEE Transactions on Signal Processing
A robust adaptive beamformer based on worst-case semi-definite programming
IEEE Transactions on Signal Processing
SINR analysis of the subtraction-based SMI beamformer
IEEE Transactions on Signal Processing
On the robustness of transmit beamforming
IEEE Transactions on Signal Processing
Worst-case optimized V-BLAST receiver design for imperfect MIMO channels
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
IEEE Transactions on Signal Processing
EURASIP Journal on Advances in Signal Processing
Robust Adaptive Microphone Array with Mainlobe and Response Ripple Control
Journal of Signal Processing Systems
A second-order cone bounding algorithm for robust minimum variance beamforming
Switching and Learning in Feedback Systems
Modified projection approach for robust adaptive array beamforming
Signal Processing
IEEE/ACM Transactions on Networking (TON)
Robust Uniform Channel Decomposition and Power Allocation for MIMO Systems with Imperfect CSI
Wireless Personal Communications: An International Journal
Robust constrained constant modulus algorithm
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Robust adaptive beamforming with null widening under quadratic constraint
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Robust Capon beamforming against large DOA mismatch
Signal Processing
Robust Least Squares Constant Modulus Algorithm to Signal Steering Vector Mismatches
Wireless Personal Communications: An International Journal
KIKIWAKE: sound source separation system for children-computer interaction
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Robust adaptive beamforming using an iterative FFT algorithm
Signal Processing
Wireless Personal Communications: An International Journal
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Adaptive beamforming methods are known to degrade if some of underlying assumptions on the environment, sources, or sensor array become violated. In particular, if the desired signal is present in training snapshots, the adaptive array performance may be quite sensitive even to slight mismatches between the presumed and actual signal steering vectors (spatial signatures). Such mismatches can occur as a result of environmental nonstationarities, look direction errors, imperfect array calibration, distorted antenna shape, as well as distortions caused by medium inhomogeneities, near-far mismatch, source spreading, and local scattering. The similar type of performance degradation can occur when the signal steering vector is known exactly but the training sample size is small. In this paper, we develop a new approach to robust adaptive beamforming in the presence of an arbitrary unknown signal steering vector mismatch. Our approach is based on the optimization of worst-case performance. It turns out that the natural formulation of this adaptive beamforming problem involves minimization of a quadratic function subject to infinitely many nonconvex quadratic constraints. We show that this (originally intractable) problem can be reformulated in a convex form as the so-called second-order cone (SOC) program and solved efficiently (in polynomial time) using the well-established interior point method. It is also shown that the proposed technique can be interpreted in terms of diagonal loading where the optimal value of the diagonal loading factor is computed based on the known level of uncertainty of the signal steering vector. Computer simulations with several frequently encountered types of signal steering vector mismatches show better performance of our robust beamformer as compared with existing adaptive beamforming algorithms.