Integrated Band-Stop Filter-Based 1.8 GHz RF Detection System for Sensitivity and Efficiency Enhancement in IoT...

Area of Science:

• Electrical Engineering
• Radio Frequency Engineering
• Energy Harvesting

Background:

• The proliferation of the Internet of Things (IoT) and wireless sensor networks necessitates efficient energy harvesting solutions.
• Compact and reliable radio frequency (RF) energy harvesting circuits are crucial for powering these distributed devices.

Purpose of the Study:

• To design, simulate, and evaluate a high-efficiency single-band RF detection system operating at 1.8 GHz.
• To optimize the system for improved sensitivity and power conversion efficiency for IoT applications.

Main Methods:

• The RF detector was designed and simulated using a Rogers RO4003C substrate.
• The SMS7630-079LF Schottky diode was utilized for its detection capabilities and cost-effectiveness.
• A band stop filter was incorporated to suppress harmonic components and enhance performance.

Main Results:

• The system demonstrated a baseline sensitivity of 1.8 mV/dBm.
• Implementation of the band stop filter increased sensitivity to 2.2 mV/dBm.
• A peak power conversion efficiency of 65.28% was achieved at a 1.5 kΩ load.

Conclusions:

• The developed 1.8 GHz RF detector offers high efficiency and improved sensitivity, making it suitable for low-power energy harvesting.
• This technology is a promising candidate for next-generation energy harvesting modules, self-powered sensor networks, and intelligent embedded systems within the IoT.
• The design addresses the growing demand for reliable power sources in the expanding IoT ecosystem.