Experimental Development of 2.45GHz Rectenna using FSS and Dual-Polarization

Youn, Dong-Gi; Kim, Kwan-Ho; Rhee, Young-Chul; Shin, Chull-Chai

doi:10.1109/euma.2000.338758

Cited by 5 publications

(3 citation statements)

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“…In [29], a circular polarization patch has one port that is terminated in 50 W, while the other is used for power reception, so the rectifier antenna needs to be configured according to the incoming wave. A crossed dipole is used in [30], with dc outputs connected across the same dc load at the same node.…”

Section: B Dual-polarization Rectenna Designmentioning

confidence: 99%

Low-Power Far-Field Wireless Powering for Wireless Sensors

et al. 2013

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Section: B Dual-polarization Rectenna Designmentioning

confidence: 99%

Low-Power Far-Field Wireless Powering for Wireless Sensors

et al. 2013

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“…Therefore, a dual-orthogonal polarization rectenna, which rectifies the power contained in orthogonally polarized waves independently and adds the dc output, will on average receive the most power with the least variation over time and with increased overall efficiency over a linearly polarized rectenna. This property has been recognized by many of the rectenna designs in the literature, e.g., [15] and [16], and is discussed in detail in [9]. Although there are environments with substantial RF ambient power, in order to reliably power devices, it is useful to additionally have controlled compliant low-power transmitters that operate at frequencies that overlap with the harvesting frequency range.…”

Section: B Rf Harvesting Environmentmentioning

confidence: 99%

Scalable RF Energy Harvesting

Popović

Korhummel

Dunbar

et al. 2014

IEEE Trans. Microwave Theory Techn.

122

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This paper discusses harvesting of low-power density incident plane waves for electronic devices in environments where it is difficult or impossible to change batteries and where the exact locations of the energy sources are not known. As the incident power densities vary over time and space, distributed arrays of antennas with optimized power-management circuits are introduced to increase harvested power and efficiency. Scaling in array size, power, dc load, frequency, and gain is discussed through three example arrays: a dual industrial-scientific-medical band Yagi-Uda array with a low-power startup circuit; a narrowband 1.96-GHz dual-polarized patch rectenna array with a reconfigurable dc output network designed for harvesting base-station power; and a broadband dual-polarized 2-18-GHz array with multi-tone performance. The efficiency of rectification and power management is investigated for incident power densities in the 1-100-W/cm range.

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“…Only periodic check up of the patient after surgery can be possible in the hospital. No continuous monitoring of the patient and location tracking of the patient can be done [11] [12]. Hence, it leads to increase in the death of the patient after surgery [26].…”

Section: Drawbacksmentioning

confidence: 99%

A Novel Based Algorithm for the Prediction of Abnormal Heart Rate Using Bayesian Algorithm in the Wireless Sensor Network

Ganesan¹,

Kumar²,

Lalitha³

et al. 2015

Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering &Amp; Technology (ICARCSE

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In this paper, we describe about the wireless sensor networks (WSN) in which are used to monitor the physical conditions and co-operatively send the messages of the sensor to the main location. The existing system has been focused on detecting abnormal heart rate by placing the sensor on the pacemaker during bypass surgery. If any abnormalities found, then the warning message has been sent to the patient's relatives. But the issues in the system are, they cannot discuss about the network [41] lifetime and tracking of the patient's location. Our system helps in finding the abnormalities of heart beat rate and also medicine intake by the patient using Bayesian algorithm. The paper highlights the need of personal caring of the patient by the hospital that will reduce unnecessary delay in providing treatment to a patient. It also concentrates on the network lifetime maximization and distance metrics while moving from one network to another network.

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Experimental Development of 2.45GHz Rectenna using FSS and Dual-Polarization

Cited by 5 publications

References 0 publications

Low-Power Far-Field Wireless Powering for Wireless Sensors

Low-Power Far-Field Wireless Powering for Wireless Sensors

Scalable RF Energy Harvesting

A Novel Based Algorithm for the Prediction of Abnormal Heart Rate Using Bayesian Algorithm in the Wireless Sensor Network

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