Low-Cost Simulation-Driven Design of Broadband Rectifiers for Ambient RF Energy Harvesting

Bekasiewicz, Adrian; Karataev, Tologon; Kozieł, Sławomir

doi:10.1109/nemo.2018.8503188

Cited by 1 publication

(1 citation statement)

References 16 publications

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“…The last considered structure is a broadband rectifier with the dual converter dedicated to harvest the RF energy shown in Fig. 12 [42]. The circuit is implemented on the Rogers RO4003C substrate (ε r = 3.55, h = 0.813 mm, tanδ = 0.0027) and consists of a diplexer with two Dickson-pump converters with a common output.…”

Section: Rectifier For Wireless Energy Harvestingmentioning

confidence: 99%

Optimization of the Hardware Layer for IoT Systems Using a Trust-Region Method With Adaptive Forward Finite Differences

Bekasiewicz

2023

IEEE Internet Things J.

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Trust-region (TR) algorithms represent a popular class of local optimization methods. Owing to straightforward setup and low computational cost, TR routines based on linear models determined using forward finite differences (FD) are often utilized for performance tuning of microwave and antenna components incorporated within the Internet of Things systems. Despite usefulness for design of complex structures, performance of TR methods vastly depends on the quality of FD-based local models. The latter are normally identified from perturbations determined a priori using either rules-of-thumb, or as a result of manual tuning. In this work, a framework for automatic determination of FD steps and their adjustment between the TR algorithm iterations is proposed. The method involves numerical optimization of perturbations so as to equalize the objective function changes w.r.t. the center design to the desirable precision. To maintain acceptable cost, the FD-tuning procedure is executed using the same approximation model as the one exploited in the course of the structure optimization. The proposed framework has been tested on a total of twelve design problems. Furthermore, the presented method has been thoroughly validated against TR-algorithms with static, a priori selected perturbations. Numerical results indicate that the proposed framework provides up to 50% performance improvement (in terms of the optimized designs quality) compared to the state-of-the-art TR-based approaches. Usefulness of the proposed method for the real-world Internet of Things systems has been implicitly demonstrated through utilization of one of the optimized structures in a hardware layer of a real-time localization system.

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Section: Rectifier For Wireless Energy Harvestingmentioning

confidence: 99%

Optimization of the Hardware Layer for IoT Systems Using a Trust-Region Method With Adaptive Forward Finite Differences

Bekasiewicz

2023

IEEE Internet Things J.

View full text Add to dashboard Cite

show abstract

Low-Cost Simulation-Driven Design of Broadband Rectifiers for Ambient RF Energy Harvesting

Cited by 1 publication

References 16 publications

Optimization of the Hardware Layer for IoT Systems Using a Trust-Region Method With Adaptive Forward Finite Differences

Optimization of the Hardware Layer for IoT Systems Using a Trust-Region Method With Adaptive Forward Finite Differences

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