A Novel Filter Bank Design for Enhanced Radio Frequency (Rf) Harvesting and Energy Synthesis

Abstract: The demand for green and sustainable energy has grown significantly in recent years. Traditional energy sources, such as fossil fuels and nuclear power, pose serious environmental risks, driving the adoption of renewable alternatives. [1] While solar energy has seen substantial advancements, other technologies—including piezoelectric, radio frequency (RF) harvesting, and gyroscopic energy harvesting—remain underdeveloped. Among these, RF energy harvesting holds immense potential to revolutionize low-power applications, particularly for Internet of Things (IoT) devices such as sensors, wearables, smartphones, and unmanned aerial vehicles (UAVs). However, current RF harvesters suffer from inefficiencies in energy synthesis, resulting in low voltage output and limited practical use. For instance, Powercast’s state-of-the-art solution achieves 75% efficiency but only within a 24-meter range. [2]

To address these challenges, this paper introduces novel filter bank architecture for RF energy harvesting, leveraging microstrip, passive, and active filters to achieve wider bandwidth and improved efficiency. Filters play a critical role in signal processing, and while modern digital filters excel in reconfigurability, analog filters remain essential in RF harvesting to mitigate noise and enhance voltage stability. Our proposed design integrates four specialized filters, rigorously tested through MATLAB and AWR simulations. The results demonstrate significant improvements in energy synthesis, paving the way for self-powering devices that could eventually eliminate the need for traditional chargers and charging ports. [2] [3]

Piezo, microstrip, software defined systems, wearable devices.

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