A Cost-Effective Photonic Radar Under Adverse Weather Conditions for Autonomous Vehicles by Incorporating a Frequency-Modulated Direct Detection Scheme

In recent years, there have been plenty of demands and growth in the autonomous vehicle industry, and thus, challenges of designing highly efficient photonic radars that can detect and range any target with the resolution of a few centimeters have been encountered. The existing radar technology is u...

Full description

Bibliographic Details
Main Authors: Abhishek Sharma, Sushank Chaudhary, Jyoteesh Malhotra, Muhammad Saadi, Sattam Al Otaibi, Jamel Nebhen, Lunchakorn Wuttisittikulkij
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Physics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2021.747598/full
id doaj-9ee16ffb2cc246e58fd06557082eebb2
record_format Article
spelling doaj-9ee16ffb2cc246e58fd06557082eebb22021-09-17T14:18:19ZengFrontiers Media S.A.Frontiers in Physics2296-424X2021-09-01910.3389/fphy.2021.747598747598A Cost-Effective Photonic Radar Under Adverse Weather Conditions for Autonomous Vehicles by Incorporating a Frequency-Modulated Direct Detection SchemeAbhishek Sharma0Sushank Chaudhary1Jyoteesh Malhotra2Muhammad Saadi3Sattam Al Otaibi4Jamel Nebhen5Lunchakorn Wuttisittikulkij6Department of Electronics Technology, Guru Nanak Dev University, Amritsar, IndiaWireless Communication Ecosystem Research Unit, Department of Electrical Engineering, Chulalongkorn University, Bangkok, ThailandDepartment of Electronics and Communication Engineering, Regional Campus-Guru Nanak Dev University, Jalandhar, IndiaDepartment of Electrical Engineering, University of Central Punjab, Lahore, PakistanDepartment of Electrical Engineering, College of Engineering, Taif University, Taif, Saudi ArabiaPrince Sattam bin Abdulaziz University, College of Computer Engineering and Sciences, Alkharj, Saudi ArabiaWireless Communication Ecosystem Research Unit, Department of Electrical Engineering, Chulalongkorn University, Bangkok, ThailandIn recent years, there have been plenty of demands and growth in the autonomous vehicle industry, and thus, challenges of designing highly efficient photonic radars that can detect and range any target with the resolution of a few centimeters have been encountered. The existing radar technology is unable to meet such requirements due to limitations on available bandwidth. Another issue is to consider strong attenuation while working under diverse atmospheric conditions at higher frequencies. The proposed model of photonic radar is developed considering these requirements and challenges using the frequency-modulated direct detection technique and considering a free-space range of 750 m. The result depicts improved range detection in terms of received power and an acceptable signal-to-noise ratio and range under adverse climatic situations.https://www.frontiersin.org/articles/10.3389/fphy.2021.747598/fullphotonic radarfrequency-modulated direct detectionsignal-to-noise ratioadverse weather conditionsautonomous vehicle
collection DOAJ
language English
format Article
sources DOAJ
author Abhishek Sharma
Sushank Chaudhary
Jyoteesh Malhotra
Muhammad Saadi
Sattam Al Otaibi
Jamel Nebhen
Lunchakorn Wuttisittikulkij
spellingShingle Abhishek Sharma
Sushank Chaudhary
Jyoteesh Malhotra
Muhammad Saadi
Sattam Al Otaibi
Jamel Nebhen
Lunchakorn Wuttisittikulkij
A Cost-Effective Photonic Radar Under Adverse Weather Conditions for Autonomous Vehicles by Incorporating a Frequency-Modulated Direct Detection Scheme
Frontiers in Physics
photonic radar
frequency-modulated direct detection
signal-to-noise ratio
adverse weather conditions
autonomous vehicle
author_facet Abhishek Sharma
Sushank Chaudhary
Jyoteesh Malhotra
Muhammad Saadi
Sattam Al Otaibi
Jamel Nebhen
Lunchakorn Wuttisittikulkij
author_sort Abhishek Sharma
title A Cost-Effective Photonic Radar Under Adverse Weather Conditions for Autonomous Vehicles by Incorporating a Frequency-Modulated Direct Detection Scheme
title_short A Cost-Effective Photonic Radar Under Adverse Weather Conditions for Autonomous Vehicles by Incorporating a Frequency-Modulated Direct Detection Scheme
title_full A Cost-Effective Photonic Radar Under Adverse Weather Conditions for Autonomous Vehicles by Incorporating a Frequency-Modulated Direct Detection Scheme
title_fullStr A Cost-Effective Photonic Radar Under Adverse Weather Conditions for Autonomous Vehicles by Incorporating a Frequency-Modulated Direct Detection Scheme
title_full_unstemmed A Cost-Effective Photonic Radar Under Adverse Weather Conditions for Autonomous Vehicles by Incorporating a Frequency-Modulated Direct Detection Scheme
title_sort cost-effective photonic radar under adverse weather conditions for autonomous vehicles by incorporating a frequency-modulated direct detection scheme
publisher Frontiers Media S.A.
series Frontiers in Physics
issn 2296-424X
publishDate 2021-09-01
description In recent years, there have been plenty of demands and growth in the autonomous vehicle industry, and thus, challenges of designing highly efficient photonic radars that can detect and range any target with the resolution of a few centimeters have been encountered. The existing radar technology is unable to meet such requirements due to limitations on available bandwidth. Another issue is to consider strong attenuation while working under diverse atmospheric conditions at higher frequencies. The proposed model of photonic radar is developed considering these requirements and challenges using the frequency-modulated direct detection technique and considering a free-space range of 750 m. The result depicts improved range detection in terms of received power and an acceptable signal-to-noise ratio and range under adverse climatic situations.
topic photonic radar
frequency-modulated direct detection
signal-to-noise ratio
adverse weather conditions
autonomous vehicle
url https://www.frontiersin.org/articles/10.3389/fphy.2021.747598/full
work_keys_str_mv AT abhisheksharma acosteffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT sushankchaudhary acosteffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT jyoteeshmalhotra acosteffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT muhammadsaadi acosteffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT sattamalotaibi acosteffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT jamelnebhen acosteffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT lunchakornwuttisittikulkij acosteffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT abhisheksharma costeffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT sushankchaudhary costeffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT jyoteeshmalhotra costeffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT muhammadsaadi costeffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT sattamalotaibi costeffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT jamelnebhen costeffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
AT lunchakornwuttisittikulkij costeffectivephotonicradarunderadverseweatherconditionsforautonomousvehiclesbyincorporatingafrequencymodulateddirectdetectionscheme
_version_ 1717377169085169664