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In this paper, we consider the problem of enhancing the filtering capacity of single standard beamformers for real base-band signals. Unfortunately, the standard smart arrays are not able to effectively minimize the effects of the complex noise in the array. In order to solve this problem, we analyze a parallel adaptive beamforming system based on complex nonlinear adaptive filters. In this design,...
Partial Discharge (PD) or Partial Breakdown (PB) analysis is one of the most widely used methods to determine the state of electrical power insulation systems. An alternative method to measure PD is presented in this paper. In this proposed approach, data are obtained from electrical charge signals displaced by partial discharges on dielectric elements, pin type insulators. An electrical assembly...
In this paper, two different filter structures for smart antennas based on a convex combination of independent transversal adaptive sub-filters are analyzed. The first structure combines the least-mean-squares (LMS) and the augmented complex least-mean-squares (ACLMS) algorithms, whereas the second one uses the recursive least-squares (RLS) and the complex dual least-mean-squares (CDU-LMS) algorithms...
In this paper, the results of the simulation of a fuzzy controller applied to a Vertical Takeoff and Landing (VTOL) are presented. For this design, the ground aerodynamic effect is considered to stablish the member functions and the linguistic rules for the fuzzy system. A direct fuzzy controller with an integrator stage structure is proposed in order to enhance the error in steady-state and obtain...
An adaptive hybrid beamforming (HB) based on the convex combination of two independent transversal adaptive filters is proposed and analyzed in this paper. It involves the use of the recursive least mean square (RLS) and the dual univariate filtering approach (DUAF). The main concept behind the hybrid beamforming stablishes that the adaptive structure is still able to generate a good radiation pattern,...
This paper proposes a new approach based on information classification algorithms, fuzzy logic and neural networks for generating the membership functions to be used for searching the optimal step size of the normalized least mean square adaptive algorithm, when it is applied in adaptive linear antenna arrays. To this end a multilayer perceptron neural network, which is trained using the back propagation...
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