Analysis of Antenna Radiation Characteristics Using a Hybrid Ray Tracing Algorithm for Indoor WiFi Energy-Harvesting Rectennas

In this paper, the radiation features of indoor WiFi energy-harvesting antennas are analyzed, and the design guidelines that enhance receiving power are proposed. It is acknowledged that an RF energy-harvesting antenna is desired to depict circular polarization (CP) and omnidirectional patterns, as...

Full description

Bibliographic Details
Main Authors: Yen-Sheng Chen, Fei-Peng Lai, Jing-Wei You
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8672552/
id doaj-9cb9bd1e504f42bd81e4585c97f07cf1
record_format Article
spelling doaj-9cb9bd1e504f42bd81e4585c97f07cf12021-04-05T16:59:14ZengIEEEIEEE Access2169-35362019-01-017388333884610.1109/ACCESS.2019.29066468672552Analysis of Antenna Radiation Characteristics Using a Hybrid Ray Tracing Algorithm for Indoor WiFi Energy-Harvesting RectennasYen-Sheng Chen0https://orcid.org/0000-0002-3155-479XFei-Peng Lai1Jing-Wei You2Department of Electronic Engineering, National Taipei University of Technology, Taipei, TaiwanDepartment of Electronic Engineering, National Taipei University of Technology, Taipei, TaiwanDepartment of Electronic Engineering, National Taipei University of Technology, Taipei, TaiwanIn this paper, the radiation features of indoor WiFi energy-harvesting antennas are analyzed, and the design guidelines that enhance receiving power are proposed. It is acknowledged that an RF energy-harvesting antenna is desired to depict circular polarization (CP) and omnidirectional patterns, as ambient sources are omnipresent; however, the polarization and half-power beamwidth (HPBW) of the antenna are inconclusive in earlier studies. To clarify the requirement of the radiation characteristics for indoor environments, the receiving performance of six antennas with different HPBWs and polarizations is analyzed. The research methodology is a hybrid ray tracing algorithm that integrates image and shooting-and-bouncing-ray methods. These antennas are placed at different locations in a room, and the orientations are evenly and uniformly sampled. The receiving performance of each antenna is cast into cumulative density functions, which clarify the antenna that provides the maximum amount of successful receptions at specified energy-harvesting sensitivity. The simulated results are verified by performing the measurement. Surprisingly, the results indicate that CP and omnidirectional patterns cannot offer the most favorable receiving performance. In contrast, linear polarization and narrow HPBWs with high gain are desired in most of the scenarios, even though the directions of signal arrival have been uniformly sampled.https://ieeexplore.ieee.org/document/8672552/Antennasenergy harvestingray tracingrectennaswireless power transmission
collection DOAJ
language English
format Article
sources DOAJ
author Yen-Sheng Chen
Fei-Peng Lai
Jing-Wei You
spellingShingle Yen-Sheng Chen
Fei-Peng Lai
Jing-Wei You
Analysis of Antenna Radiation Characteristics Using a Hybrid Ray Tracing Algorithm for Indoor WiFi Energy-Harvesting Rectennas
IEEE Access
Antennas
energy harvesting
ray tracing
rectennas
wireless power transmission
author_facet Yen-Sheng Chen
Fei-Peng Lai
Jing-Wei You
author_sort Yen-Sheng Chen
title Analysis of Antenna Radiation Characteristics Using a Hybrid Ray Tracing Algorithm for Indoor WiFi Energy-Harvesting Rectennas
title_short Analysis of Antenna Radiation Characteristics Using a Hybrid Ray Tracing Algorithm for Indoor WiFi Energy-Harvesting Rectennas
title_full Analysis of Antenna Radiation Characteristics Using a Hybrid Ray Tracing Algorithm for Indoor WiFi Energy-Harvesting Rectennas
title_fullStr Analysis of Antenna Radiation Characteristics Using a Hybrid Ray Tracing Algorithm for Indoor WiFi Energy-Harvesting Rectennas
title_full_unstemmed Analysis of Antenna Radiation Characteristics Using a Hybrid Ray Tracing Algorithm for Indoor WiFi Energy-Harvesting Rectennas
title_sort analysis of antenna radiation characteristics using a hybrid ray tracing algorithm for indoor wifi energy-harvesting rectennas
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description In this paper, the radiation features of indoor WiFi energy-harvesting antennas are analyzed, and the design guidelines that enhance receiving power are proposed. It is acknowledged that an RF energy-harvesting antenna is desired to depict circular polarization (CP) and omnidirectional patterns, as ambient sources are omnipresent; however, the polarization and half-power beamwidth (HPBW) of the antenna are inconclusive in earlier studies. To clarify the requirement of the radiation characteristics for indoor environments, the receiving performance of six antennas with different HPBWs and polarizations is analyzed. The research methodology is a hybrid ray tracing algorithm that integrates image and shooting-and-bouncing-ray methods. These antennas are placed at different locations in a room, and the orientations are evenly and uniformly sampled. The receiving performance of each antenna is cast into cumulative density functions, which clarify the antenna that provides the maximum amount of successful receptions at specified energy-harvesting sensitivity. The simulated results are verified by performing the measurement. Surprisingly, the results indicate that CP and omnidirectional patterns cannot offer the most favorable receiving performance. In contrast, linear polarization and narrow HPBWs with high gain are desired in most of the scenarios, even though the directions of signal arrival have been uniformly sampled.
topic Antennas
energy harvesting
ray tracing
rectennas
wireless power transmission
url https://ieeexplore.ieee.org/document/8672552/
work_keys_str_mv AT yenshengchen analysisofantennaradiationcharacteristicsusingahybridraytracingalgorithmforindoorwifienergyharvestingrectennas
AT feipenglai analysisofantennaradiationcharacteristicsusingahybridraytracingalgorithmforindoorwifienergyharvestingrectennas
AT jingweiyou analysisofantennaradiationcharacteristicsusingahybridraytracingalgorithmforindoorwifienergyharvestingrectennas
_version_ 1721540504946999296