Random vibration testing is traditionally performed by means of single -axis testing. However, real operational environment are in general characterized by multi -axis vibration. As a consequence, single -axis testing...
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Random vibration testing is traditionally performed by means of single -axis testing. However, real operational environment are in general characterized by multi -axis vibration. As a consequence, single -axis testing is incapable of reproducing the actual damaging process of a component in the laboratory. In this work the damage inflicted to a cantilever beam by multiaxis and sequential single -axis random excitation is compared. A fatigue testing campaign is carried out to establish the fatigue properties of the specimen under different types of vibration environment. The results of the fatigue testing campaign are used to define a relationship between the damage inflicted by multi -axis and sequential single -axis excitations. In particular, a correction factor is defined that allows to calculate the fatigue damage under multi -axis vibration environment knowing the damage inflicted by single -axis excitations. The correction factor takes into account the different activation of the vibrating modes of the specimen caused by different types of excitations. The correction factor for multi -axis vibration environments may allow to estimate the damage caused by multi -axis vibration with the use of a single -axis shaker, as well as allowing to calculate the required testing time for a multi -axis test starting from single -axis testing procedures, improving laboratory testing in terms of costs and realism.
Control of input-affine nonlinear dynamical systems is investigated in this paper. In this regard, a system of linear inequalities (SLI) in the control inputs is developed, and it is proved that if this SLI has a solu...
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Control of input-affine nonlinear dynamical systems is investigated in this paper. In this regard, a system of linear inequalities (SLI) in the control inputs is developed, and it is proved that if this SLI has a solution at all times, applying it to the system leads to moving its state trajectories towards the desired point in space for all initial conditions. But, since it may happen that this SLI has infinitely many solutions or even no solution, the best (possibly, approximate) solution is obtained by solving a linear programming (LP) problem. Different LP problems with different properties and applications are proposed for this purpose. Formulation of the control problem as an LP makes it possible to take into account the effect of actuator saturation simply by adding bound constraints to the problem. We can also make the resulting control system robust to model uncertainties. Some numerical examples including the output voltage regulation of double-source DC-DC converter and robot path-planning, both by considering the effect of actuators saturation and taking into account the uncertainties in model, are also presented. (c) 2021 European Control Association. Published by Elsevier Ltd. All rights reserved.
Exploring optimal recipes to reduce dimensional variations is critical in etching processes. Variations in critical dimensions that were acceptable previously can become problematic because of smaller node sizes and m...
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Exploring optimal recipes to reduce dimensional variations is critical in etching processes. Variations in critical dimensions that were acceptable previously can become problematic because of smaller node sizes and more complex structures. Dry etch can be a major source of variations and will be the focus of this research. Advanced Process Control (APC) has been widely studied in semiconductor manufacturing. Even though different APC methods have been developed to adjust recipes, it is challenging to explore an optimal recipe to achieve multiple critical dimensions. In this paper, a learning method based on Kernel Ridge Regression (KRR) is proposed to generate optimal recipes for multi-input multi-output (MIMO) systems. A KRR parameter optimization method is developed. To improve the recipe optimization process, a feedback fine tuning method is proposed. Experimental data in a dry etch process were collected and processed for model construction and recipe optimization. The results demonstrate the effectiveness of the proposed method in exploring optimal recipes for MIMO systems.
For the multiple-inputmultiple-output (MIMO) downlink employing high-order quadrature amplitude modulation signaling and with nonlinear high power amplifiers (HPAs) at base station transmitter, the existing precoding...
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For the multiple-inputmultiple-output (MIMO) downlink employing high-order quadrature amplitude modulation signaling and with nonlinear high power amplifiers (HPAs) at base station transmitter, the existing precoding designs relying on the linear MIMO channel can no longer work. We propose an effi-cient and accurate predistorter design to enable transmit precoding for nonlinear MIMO downlink. Specifically, we obtain the closed-form least squares estimates of the nonlinear HPA's amplitude and phase response using two B-spline neural networks during training. The estimated HPA's phase response automatically yields the estimate of the predistorter's phase response. Based on the B-spline neural net-work estimate of the HPA's amplitude response, we construct a B-spline neural network model for the predistorter amplitude response, and we adopt a particle swarm optimization (PSO) algorithm to solve this highly nonlinear optimization problem. Using our accurate predistorter estimate to pre-compensate for the nonlinear distortions of the transmit HPAs, a standard full-digital transmit precoding design can readily be adopted to combat the MIMO channel interference. A simulation study is conducted to demonstrate the effectiveness of our proposed PSO assisted predistorter design. (c) 2021 Elsevier B.V. All rights reserved.
Recently, the photonics-radar technology comes out as an attractive candidate in the arena of smart autonomous transportation, surveillance, and navigation-related applications owing to provide wide-spectra to attain ...
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Recently, the photonics-radar technology comes out as an attractive candidate in the arena of smart autonomous transportation, surveillance, and navigation-related applications owing to provide wide-spectra to attain improved and precise radar-resolutions. On the other hand, microwave radars, due to limited bandwidth, are incapable of coping with the demands of next-generation radar technology. Moreover, the atmospheric fluctuations become more prominent at higher frequencies and affect the radar's performance significantly. Subsequently, the authors develop a 2 x 2 multi-input multi-output (MIMO) employed linear frequency-modulated continuous-wave coherent photonic-radar system (MIMO-Co-PHRAD) using OptiSystem (TM) and MATLAB (TM) to attain a prolonged detection-range with an enhanced visibility. The developed MIMO-Co-PHRAD is investigated with heterodyne- and homodyne-detection approaches under weak-to-strong regimes of the atmospheric fluctuations like Rain and Fog. A comparison is also drawn for both the demonstrated MIMO-equipped laser-driven coherent photonic-radar systems. The performance of both the developed MIMO-Co-PHRAD systems is evaluated by measuring the intensity of reflected-echoes, signal-to-noise ratio, and range-Doppler patterns. A contrast with the single-input single-output coherent photonic-radar (SISO-Co-PHRAD) is also established to validate the robustness of the demonstrated MIMO-Co-PHRAD.
Short-packet communication (SPC) in multi-input multi-output (MIMO) networks with energy scavenging (ES) harnesses modern techniques such as MIMO processing, SPC, and radio frequency ES to achieve optimal spectrum usa...
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Short-packet communication (SPC) in multi-input multi-output (MIMO) networks with energy scavenging (ES) harnesses modern techniques such as MIMO processing, SPC, and radio frequency ES to achieve optimal spectrum usage, high reliability, low latency, and high energy efficiency . Nevertheless, a comprehensive performance analysis of SPC in MIMO system with ES under practical circumstances-successive interference cancellation imperfection (SICi), channel state information imperfection (CSIi), and nonlinear ES (nlES)-has yet to be conducted, particularly for advanced and conventional multiple access (MA) schemes-nonorthogonal MA (NOMA) and orthogonal MA (OMA). This paper addresses this gap by proposing an analytical framework, validated through Monte Carlo simulations, which quickly evaluates the total throughput and average block-error rate of SPC in MIMO system with nlES in key parameters such as transmit power, SICi level, CSIi level, power splitting factor, time division factor, power saturation threshold, antenna configuration, energy conversion efficiency. The results reveal that, contrary to long-packet communication, NOMA performs worse than OMA in SPC in MIMO system with nlES.
In this work, the design procedure of a new decoupling network for different antennas is presented for mobile terminals operating in the Sub-1 GHz band (from 0.698 to 0.96 GHz). To evaluate its applicability for diffe...
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In this work, the design procedure of a new decoupling network for different antennas is presented for mobile terminals operating in the Sub-1 GHz band (from 0.698 to 0.96 GHz). To evaluate its applicability for different resonant and non-resonant antenna types, two antenna elements have been chosen to be decoupled using the proposed decoupling network: a printed inverted-F antenna and a capacitive coupling element antenna. Simulation and measurement results showed that the decoupling network offer promising improvements in terms of impedance matching, port isolation, envelope correlation coefficient (ECC), and total efficiency. In addition, the antennas are also investigated with the ergodic capacity, multiplexing efficiency, gain, and diversity gain (both calculated using maximal ratio combining technique). Due to the contribution of the decoupling network, the ECC of both types of multiple antennas are less than 0.3, with a 30 % improvement in total efficiency and an inter-element spacing miniaturization of 34 %.
multi-input multi-output (MIMO) is the need for recent communication system for the enhancement of channel capacity. While the number of antenna array elements increased, the spacing between the array elements and siz...
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multi-input multi-output (MIMO) is the need for recent communication system for the enhancement of channel capacity. While the number of antenna array elements increased, the spacing between the array elements and size of the antenna reduced. Hence high coupling between the elements occur, and thus the channel capacity reduced. There were several existing methods employs, however there were some limitations like reduced gain, dielectric constant, and bandwidth. So as to overcome this and to increase the performance characteristics such as bandwidth, gain of MIMO antennas and to lessen the dielectric constant of substrate material this proposed scheme is introduced. Using these considerations and requirements, an array of two-element MIMO system will be designed and developed with a less dielectric material (epsilon r<4. So in this Taconic RF-35 (dielectric constant is 3.5), Two T-Shaped antennas are employed for 2.45 GHz (ISM band) with multiple modes of operation to achieve the improved bandwidth of about - 10 db. Simulation is done by HFSS 13.0.
In this article, a two-element multiband multi-input multi-output (MIMO) antenna for 5G communication devices is presented. Characteristics mode analysis is used to develop the proposed antenna. The planar inverted-F ...
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In this article, a two-element multiband multi-input multi-output (MIMO) antenna for 5G communication devices is presented. Characteristics mode analysis is used to develop the proposed antenna. The planar inverted-F antenna (PIFA) structure is used as an antenna element operating at 3.5, 4.3, 28, and 35 GHz bands. The shape of the PIFA is L-shaped patch with an L slot placed which is positioned above the ground plane at 4 mm height. The proposed antenna covers more than 400 MHz bandwidth at 3.5, 4.3 GHz bands, and wideband coverage of more than 12 GHz covering many millimeter Wave (mmWave) bands between 24 and 38 GHz. The use of complementary metamaterial unit cell resulted in a minimum of 21 dB isolation in 3.5 GHz band and a minimum of 24 dB in mmWave bands. The simulated and measured results are presented for the proposed MIMO antenna system, which is in good agreement with each other.
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