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The Antenna Lab | The Ham's Corner | Advanced RF Edge

Tag - microstrip

Articles covering the design, simulation, and applications of microstrip and patch antennas.

Articles

Rectangular Microstrip Patch Antennas: A Comparative Analysis of Transmission Line Theory and AN-SOF Numerical Results
This comprehensive study explores the design and electromagnetic behavior of the rectangular microstrip patch antenna, contrasting classical transmission line theory with AN-SOF numerical simulations. By evaluating resonance, input impedance, and the impact of finite vs. infinite substrates, the article details the specific areas where analytical formulas align with full-wave results and where complex phenomena like surface waves and mutual conductance necessitate advanced computational validation.
A Simple, Low-Cost Approach to Simulating Solid Wheel Antennas at 2.4 GHz
This article presents calculated return loss and gain results in the 2.4 GHz band for Wheel antennas. Using a simplified approach for simulating planar antennas on ungrounded dielectric substrates with sufficiently high permittivity, the results closely replicate the measured data published by the antenna manufacturer, achieving practical engineering accuracy. The proposed method is straightforward and enables the use of cost-effective simulation tools.
Simplified Modeling of Microstrip Antennas on Ungrounded Dielectric Substrates: A Practical First-Order Approach
Discover a practical first-order method for modeling microstrip antennas on ungrounded dielectric substrates with simplicity and ease.
High-Performance Impedance Matching in Microstrip Antennas: The Role of Capacitive Feeding
Overcome probe inductance and simplify your antenna designs with capacitive feeding. This study demonstrates how to utilize proximity coupling to achieve a perfect 50-Ohm match and 10 dBi gain. Validated against classic experimental benchmarks, our simulation shows how internal reactance cancellation enables wideband performance in microstrip patches without external matching networks.