Intelligent Rapid Antenna Design with Integrated Impedance Matching Network for Wireless Communication System

This paper presents an automated, rapid performance-driven design approach for tuning miniaturized, implantable microstrip patch antenna (MPA). The proposed method automates the design process by integrating the simulation platform (e.g., HFSS) with a K-Nearest Neighbors (KNN) based on-patch pixel slot screening process. Using this method, a custom-designed MPA with dimensions of 6 × 6 × 0.635 mm³ is proposed, operating at 2.45 GHz for wireless biotelemetry and achieving a wide bandwidth of 770 MHz. Compared to time-consuming full sweep antenna tuning methods, this approach achieves up to a 76% reduction in computing time and resource usage. Additionally, an L-shaped impedance matching circuit is implemented to match the antenna to the source’s characteristic impedance for high power transfer efficiency. The proposed antenna design method, enhanced by AI-driven optimization, offers a highly efficient and user-friendly approach for customized biotelemetry antennas. Integrated with cardiovascular implantable biosensors, the antenna plays a crucial role in enabling reliable wireless communication for the early detection and timely intervention within real-time health monitoring systems.