This paper presents a robust 23-32 GHz low noise amplifier (LNA) based on 180 nm gate length gallium nitride (GaN) high electron mobility transistor (HEMT) technology. This two stage LNA exhibits the highest reported ...
This paper presents a robust 23-32 GHz low noise amplifier (LNA) based on 180 nm gate length gallium nitride (GaN) high electron mobility transistor (HEMT) technology. This two stage LNA exhibits the highest reported power handling capability of at least 4. S9W(36.9dBm). The LNA also provides competitive noise figure (NF), gain, and an output third order intercept point (OIP3) of 1.62-2.03 dB, 9-16dB, and 23.4-30.6 dBm, respectively, across the 23-32 GHz frequency band. These results provide an excellent example of a robust GaN-based LNA which could enable next generation receiver topologies without the need for radio frequency input limiters.
A simple decoupling technique based on a single-layer substrate is proposed for wideband closely-spaced patch antennas. By combining the coplanar decoupling structure (CDS) and defected ground structure (DGS), the str...
A simple decoupling technique based on a single-layer substrate is proposed for wideband closely-spaced patch antennas. By combining the coplanar decoupling structure (CDS) and defected ground structure (DGS), the strong coupling between wideband closely-spaced patch antennas can be significantly suppressed across the operating band without an additional substrate layer. To validate the feasibility of the proposed decoupling schemes, two decoupled wideband antenna prototypes with microstrip and probe gap-coupled feeding are designed, simulated, and measured at ISM and X band, respectively. Experimental results show that the H-plane decoupled prototype achieves over 15 dB isolation across a wide matched bandwidth of 18.4% with an edge-to-edge separation of 0.038 $\lambda_{0}$ and the E-plane decoupled prototype achieves beyond 20 dB isolation across a wide matched bandwidth of 22.2% with an edge-to-edge separation of 0.033 $\lambda_{0}$ . Featuring a compact appearance, wideband operation, and strong-coupling suppression, the proposed decoupling technique is promising in wideband multiple-input and multiple-out (MIMO) applications.
We present advancements in novel rf signal processing techniques which combine the benefits of high-Q, high-linearity, and large dynamic range of acoustic wave devices with the tunability and nonlinear functionality o...
We present advancements in novel rf signal processing techniques which combine the benefits of high-Q, high-linearity, and large dynamic range of acoustic wave devices with the tunability and nonlinear functionality of spin wave devices. The design and implementation of two such magneto-acoustic devices, a tunable high-overtone bulk acoustic resonator (HBAR) and a rf signal correlator are discussed. The devices are implemented on yttrium iron garnet (YIG), chosen for its low damping of both spin and acoustic waves and magnetoelastic properties for coupling them.
The converter-interfaced generation (CIGs) are expected to dominate the grid of the future. These CIGs will cohabit with a small percentage of synchronous generators (SGs) producing power from hydro, solar thermal or ...
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The converter-interfaced generation (CIGs) are expected to dominate the grid of the future. These CIGs will cohabit with a small percentage of synchronous generators (SGs) producing power from hydro, solar thermal or even nuclear resources. It appears that the literature lacks comprehensive modeling adequacy studies on such grids with SGs and CIGs. This paper takes the first step in that direction. To that end, a nonlinear averaged phasor model of the system with detailed model of the converters including grid-forming converters (GFCs) and their control is developed. Then a singular perturbation analysis based model reduction approach for such system is proposed. Based on the proposed method, two levels of reduced order models for the GFCs are derived. Finally, the adequacy of these reduced-order models are presented via time-domain simulations on two test system models using MATLAB/Simulink.
Under voltage load shedding (UVLS) for power grid emergency control builds the last defensive perimeter to prevent cascade outages and blackouts in case of contingencies. This letter proposes a novel cooperative multi...
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Human body tissue-mimicking biological phantoms (bio-phantoms) mimic the electrical and physical properties of actual body tissue and are useful structures for validating wireless thermometer performance. A hybrid bio...
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Human body tissue-mimicking biological phantoms (bio-phantoms) mimic the electrical and physical properties of actual body tissue and are useful structures for validating wireless thermometer performance. A hybrid bio-phantom testbed designed to operate with an antenna system is presented. The hybrid bio-phantom has realistic dielectric properties and is well matched to the antenna. Reflection properties are validated for an antenna-phantom testbed, and the properties show an accurate prediction for the characteristics of a realistic finite thickness multilayered human body from 0.4 to 3 GHz.
Seismic full waveform inversion (FWI) is a widely used technique in geophysics for inferring subsurface structures from seismic data. And InversionNet is one of the most successful data-driven machine learning models ...
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The rapid growth of renewable energy resources penetration is bringing more challenges to power system planning and operation. Relevant renewable energy integration studies, such as the capability and dynamic performa...
The rapid growth of renewable energy resources penetration is bringing more challenges to power system planning and operation. Relevant renewable energy integration studies, such as the capability and dynamic performance of inverter-based resources’ primary frequency response and fast frequency response, require high-resolution renewable generation output data that are representative of renewable energy resources. This paper focuses on creating synthetic but realistic solar irradiance data and proposes a long short-term memory-based generative adversarial network to generate high-resolution (second-level) solar irradiance sequences from low-resolution (minute-level) measurements. Combined with a classifier to recognize the solar irradiance patterns, the proposed model is trained using multi-loss functions to accurately capture the temporal correlations among both high-resolution and low-resolution sequences. Verification of the proposed approach is performed on the data set of the Oahu Solar Measurement Grid collected through the National Renewable Energy laboratory. The results of the case studies demonstrate the proposed approach’s capability to capture the statistical characteristics of different solar irradiance patterns and to generate high-quality synthetic solar irradiance sequences in high resolution.
With the CMOS technology advancing and the complexity of circuits growing, the demand for analog/mixed-signal design automation tools is increasing quickly. Although some tools have been developed to tackle this chall...
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Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets, completing sensor data, and making seque...
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