Dynamically Adaptive GPS Antenna with Enhanced Position Accuracy for IoT Applications

A novel approach to GPS antenna design (1.575 GHz) by incorporating artificial intelligence (AI) techniques to dynamically adjust its reception pattern and enhancing positioning accuracy with 3 dBi gain is presented. The proposed antenna consists of 70% efficiency with -17 dB return loss and it aims to optimize positioning accuracy by adapting to evolving signal requirements and newly identified user specifications. Through the integration of machine learning algorithms, the antenna adjusts its reception pattern based on dynamic data inputs, ensuring optimal signal strength and quality in response to various signal parameters and refined user requirements. This integration of AI-driven GPS antenna design is pivotal for diverse IoT applications, emphasizing the critical role of GPS in enabling seamless operations reliant on precise location-based functionalities.