Electrical engineering

Bandwidth (computing)

Rectenna

Rectification

Stochastic neural network

Machine learning

Recurrent neural network

Engineering

Voltage

Harmonics

Amplifier

Return loss

Antenna (radio)

Materials science

Electronic engineering

Computer science

Transmission line

Rectifier (neural networks)

Artificial neural network

Broadband

Telecommunications

IEEE Transactions on Circuits & Systems II Express Briefs

This brief proposes a compact high-efficiency broadband microwave rectifier for energy harvesting. The proposed rectifier is designed to operate over a broad bandwidth spanning from 2 to 3 GHz and an input power dynamic range from 0 dBm to 10 dBm. In the proposed structure, a compact broadband low-loss matching network and a dc-pass filter with a broad stopband were designed, leading to a high conversion efficiency in a wide frequency range with compactness. For the matching network, low loss and compact size were achieved by strategically choosing and designing three transmission line segments. Moreover, the proposed dc-pass filter is compact and can effectively block broadband RF signal and its in-band high order harmonics. Theoretical analysis and simulations of the proposed structure were carried out. A prototype was fabricated, which demonstrates a broadband bandwidth of 41.5% (2.0-3.05 GHz) where the RF-dc power conversion efficiency is higher than 70% at an input power of 10 dBm. The measured efficiency remains over 45% within 1.9-3.05 GHz when the input power decreases to 0 dBm. The maximum measured efficiency is 75.8% at an input power of 14 dBm.

Compact High-Efficiency Broadband Rectifier With Multi-Stage-Transmission-Line Matching