Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2
Abstractive Summarization System
Volume-3 | Issue-4
Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
Volume-3 | Issue-3
Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
EL DAPP - An Electricity Meter Tracking Decentralized Application
Volume-2 | Issue-1
SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1
ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1
Abstractive Summarization System
Volume-3 | Issue-4
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 5 | Issue - 1 | march 2023
Published
18 March, 2023
Class F power amplifiers increasingly have widespread use cases in the modern portable mobile communications and higher efficiency operation due to base station. This paper focuses on the design of sub 6 GHz class-F Power Amplifiers (PA) to ensure maximum output power and gain using Gallium nitride– High Electron Mobility Transistor (GaN HEMT). The work also aims to analyze stability and Power Added Efficiency (PAE) using Advanced Design System (ADS) software. Simulations for DC characteristics of the GaN HEMT transistor are performed, stability circles are simulated, and stability factor values have been noted, using ADS software. Stability analysis involves measurements to examine the conditions that may lead to unstable behavior of the PA. The load pull analysis followed by impedance matching is done to transfer maximum power from amplifier stage to load. The input and output network has been designed using transmission lines and incorporated in the final circuit of the PA design. Using the LineCalc tool, the values of electrical parameters are used in the respective MLIN and TLIN circuits, and the respective matching networks are designed at the input side and output side. The amplifier stability factor is 2.276 and the maximum PAE is 65.75%. The maximum output is 39.83 dBm. The layout for the PA network using ADS software has been obtained.
KeywordsClass F power amplifier GaN HEMT Stability analysis Impedance matching LineCalc Input output matching ADS
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