[PDF] Top 20 Robust Superdirective Beamforming Under Uncertainty Set Constraint
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Robust Superdirective Beamforming Under Uncertainty Set Constraint
... For arbitrary sensor arrays, many indexes, such as directive gain, sensitivity factor, beam efficiency, signal-to-noise ratio (SNR), can be used for evaluating their performance [1]. Among these, directive gain often ... See full document
11
Collision avoidance as a robust reachability problem under model uncertainty
... small set of sparse observations over possibly long ...the uncertainty in the observations and initial conditions as confidence intervals on the observed ...the uncertainty space (Γ, L, M), with Γ a ... See full document
16
Superdirective Beamforming with Interferences and Noise Suppression via Second-Order Cone Programming
... novel superdirective beamforming method with interferences and noise ...array uncertainty, the new method can provide flexible and effective programs to suppress interferences and ...array ... See full document
15
Robust Optimisation for Hydroelectric System Operation under Uncertainty
... a robust short-term optimal dis- patch framework for a cascade hydroelectric power system tak- ing into account uncertainty in the net load due to renewable- based generation and the inflows to the ...the ... See full document
13
Robust portfolio selection problem under temperature uncertainty
... the robust counterpart of the corre- sponding ...the uncertainty sets. Notice that in case of the ellipsoidal uncertainty sets with zero means and the unity covariance ma- trices of the uncertain ... See full document
43
Hull Optimization Design for Minimum EEDI Based on
... is uncertainty set (distribution space of random variable, namely); f is objective function, g is ...constraints. Robust optimization method describes the uncertainty parameter in the function ... See full document
6
Iterative robust adaptive beamforming
... signal uncertainty range that is larger than one; the covariance fitting-based beamformer [13, 14] solves a new steering vector which is fitting for the sample covariance matrix to avoid desired signal ... See full document
12
Flow-shop scheduling problem under uncertainties: Review and trends Pages 399-426 Download PDF
... and robust optimization (Behnamian, 2016; Elyasi & Salmasi, 2013a; Li & Ierapetritou, ...chance constraint programing, and simulation-optimization. Finally, robust optimization focuses on ... See full document
28
Robust Linear MIMO in the Downlink: A Worst-Case Optimization with Ellipsoidal Uncertainty Regions
... joint robust power control and beamforming design of a linear multiuser multiple-input multiple-output (MIMO) antenna system in the downlink where users are subjected to individual ... See full document
15
Efficient Methods for Robust Classification Under Uncertainty in Kernel Matrices
... a set of 3D coordinates and it is possible to design kernel functions for protein structures based on the coordinates (Qiu et ...designing robust classifiers when the entries of the kernel matrix are ... See full document
32
Multi-objective robust trajectory optimisation under epistemic uncertainty and imprecision
... generate robust optimal trajectories for spacecraft equipped with low-thrust propulsion under the effect of epistemic ...of uncertainty is propagated through the system one can calculate the Upper ... See full document
13
Joint Robust Beamforming and Power Splitting Ratio Design in SWIPT Based Cooperative NOMA Systems With CSI Uncertainty
... the robust beamforming and the power splitting ratio while satisfying the minimum data rate for the far user and the successfully decoding requirement for the information of the far user at the near ... See full document
15
On recoverable and two stage robust selection problems with budgeted uncertainty
... a set of possible outcomes modeled through budgeted uncertainty sets, ...interval uncertainty sets with an additional linear (bud- get) constraint, in their discrete and continuous ... See full document
34
A Set of Simple Numerical Pattern Synthesis Algorithms for Anti-Jamming with Superdirective Receiving Array
... certain constraint conditions must be imposed to make super-gain array more feasible in practical ...sensitivity constraint in optimization of maximum directive ...the uncertainty of a super-gain ... See full document
8
A Robust Direct Data Domain Least Squares Beamforming with Sparse Constraint
... [20] set a sidelobe constraint to restrain the sidelobe level within a preset threshold, and the resulting problem is a convex optimization problem, which can be solved by CVX ...sparse constraint on ... See full document
13
Robust Antenna Array Beamforming Under Cycle Frequency Mismatch
... the robust idea based on optimization of worst-case perfor- mance ...solved under the uncertainty of the SC-CAB weight ...distortionless constraint towards the estimated SOI’s direction ... See full document
22
Next Generation Wireless Systems Antenna with Improved Coverage Using Beamforming Techniques
... Beamforming is a signal processing technique used in antenna arrays for directional transmission and reception. It steers all the energy in one direction by directing a transmitting element in an antenna array to ... See full document
7
On ϵ solutions for robust fractional optimization problems
... data uncertainty. Using robust optimization approach (worst-case approach), we establish optimality theorems and duality theorems for -solutions for the fractional optimization ... See full document
21
An Approximate Algorithm for Robust Adaptive Beamforming
... the robust array antenna with the in- equality directional constraints [10, 11, 12, ...The robust array antenna is designed so that the mean output power is minimized under the constraint that ... See full document
9
Robust Converter Control Design under Time-Delay Uncertainty
... uncertainty range and can be determined either through the structural singular value µ for LFT systems [15], or via a parameter-dependent Lyapunov function in the case of an LPV system [17]. Quadratic stability, ... See full document
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