Design of an RF-DC conversion circuit for energy harvesting

Devi, K. K. A.; Norashidah, Md. Din; Chakrabarty, Chandan Kumar; Sadasivam, S.

doi:10.1109/icedsa.2012.6507787

Cited by 20 publications

(9 citation statements)

References 4 publications

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“…Figure shows the output voltage and PCE versus input power of a two‐stage Dickson multiplier using diode‐connected PMOS with different loads at 915 MHz and 5.8 GHz. It can be seen that the load value affects the sensitivity and PCE of the circuit as confirmed by numerous publications . The higher the load is, the lower is the PCE of the circuit.…”

Section: Ultrasmall Antenna To Be Combined With the Rectifiersupporting

confidence: 53%

CMOS rectifier design for RFID chip with high sensitivity at low input power to be combined with an ultrasmall antenna

Jantarachote

Tontisirin²,

Akkaraekthalin

et al. 2019

Int J Numerical Modelling

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This paper presents CMOS radio frequency (RF) rectifier circuit design for radio frequency identification (RFID) tag with integrated on‐chip antenna. The proposed design focuses on high sensitivity and high efficiency at low input power. The rectifier circuit was designed using Advanced Design System (ADS) software tool with the UMC130 process as a single‐ended rectifier structure in different topologies where sensitivity and efficiency enhancement techniques are applied. This work presents the performance of the proposed CMOS RF rectifier circuit in comparison with previously published works for 915 MHz and 5.8 GHz operating frequencies. For the 915 MHz band, the highest sensitivity of −19.8 dBm is provided by the adaptive threshold voltage compensation circuit with a power conversion efficiency of 9.843%. The 5.8 GHz band uses the adaptive threshold voltage compensation and dynamic bulk bias techniques providing the highest sensitivity of −16.8 dBm. Compared with other works in the literature, the proposed circuits offer greater sensitivity and can easily be matched with ultrasmall on‐chip antennas because of appropriate values of the input impedance.

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Section: Ultrasmall Antenna To Be Combined With the Rectifiersupporting

confidence: 53%

CMOS rectifier design for RFID chip with high sensitivity at low input power to be combined with an ultrasmall antenna

Jantarachote

Tontisirin²,

Akkaraekthalin

et al. 2019

Int J Numerical Modelling

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“…The ADS Smith chart utility was used to match the impedance of 50 Ω to the input impedance 18.36 − j11.09. The lumped elements [11,12] are transformed to distributed elements in the matching network using Equations (10) to (12) where the open circuit capacitance (Z oc cap ) and impedance (Z oc ind ) are calculated:…”

Section: Lc Matching Network Circuitmentioning

confidence: 99%

Advanced Radio Frequency Energy Harvesting With Power Management From Multiple Sources for Low Power Sensors and Mobile Charging Applications

Diagarajan¹,

Ramasamy²,

Din³

2020

PIER B

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A complete energy harvesting system via Radio Frequency (RF) is designed in a broadcast station where multiple frequency sources are readily available. These frequency sources are the Intermediate Frequency (IF), 70 MHz, Wi-Fi frequency band, 2.4 GHz, and the Ku-band frequency, 13 GHz. The RF source via the Wi-Fi band (2.4 GHz) is harvested via a microstrip patch antenna designed with its matching network. The harvested RF energy is transformed into usable DC power via an 8-stage Villard voltage doubler circuit. The DC power is managed by a power management system handled by the BQ25570 circuit which gives a regulated output of 3 V, powers up a low power motion sensor, and charges a battery at the same time. This system comes with a backup source which is the battery and able to take over the system in case the incoming RF signal fails. The RF energy harvested from the IF 70 MHz and Ku-band at 13 GHz is derived from coupler outputs which are available in broadcast stations, transmission lines, etc. Both these RF signals are converted to DC signals via a 5-stage Villard voltage doubler circuit with different matching networks. The DC power is managed by a power mux via the TPS2122 which selects the highest available power. Over the years, no works on RF harvesting have focused on smart phone charging as its application, due to the limitation in power availability. This work strives to provide enough power to charge phones and effectively gives a 5 V output to charge smart phones with a charging current of 0.5 A which is similar to a USB charging port.

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“…In such a network architecture, the distance between each sensor node and the ET greatly influences the degree of harvested energy. By allowing nodes to transfer their energy to neighboring nodes, a cooperative energy harvesting scheme has been proposed in [6], which explores a trade-off between transmission relaying and energy transfer. However, Tutuncuoglu and Yener only consider a two-hop communication scenario in this work, which is not a common case in multi-hop WSNEH.…”

Section: Related Workmentioning

confidence: 99%

“…10lg ( ( ) × 10 3 ) (5) For a solar source, as proposed in work[13], the output power can be calculated from formula(6) …”

mentioning

confidence: 99%

Smart Energy Harvesting Routing Protocol for WSN based E-Health Systems

Bai

Fan

Yang

et al. 2015

Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare

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This paper proposes a novel routing protocol called Smart EnergyHarvesting Routing Protocol (SEHR) for data transmission in Wireless Sensor Network based e-Health systems (WSNEH). WSNEH is a sophisticated network environment where multiple types of mobile sensors are involved, employing different forms of data transmission without a pre-defined infrastructure, constrained by various power supplies. Given the fast developing techniques for ambient energy harvesting in WSN, the proposed SEHR route selection scheme operates alongside flexible energy harvesting resources, estimating real-time node energy consumption, predicting a node's own energy harvesting capability before a route is set up. Diverse strategies are designed for different data types, as appropriate. Overall SEHR aims to prolong whole network's lifetime. Simulation results show that SEHR greatly outperforms other routing protocols in the challenging WSNEH environment.

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Design of an RF-DC conversion circuit for energy harvesting

Cited by 20 publications

References 4 publications

CMOS rectifier design for RFID chip with high sensitivity at low input power to be combined with an ultrasmall antenna

CMOS rectifier design for RFID chip with high sensitivity at low input power to be combined with an ultrasmall antenna

Advanced Radio Frequency Energy Harvesting With Power Management From Multiple Sources for Low Power Sensors and Mobile Charging Applications

Smart Energy Harvesting Routing Protocol for WSN based E-Health Systems

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