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Hauptverfasser: Maruthi, Shree Prasad, K., Karrthik G., A., Vijaya Krishna, Hassan, Mahbub, Yuan, Jinhong
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2404.16253
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author Maruthi, Shree Prasad
K., Karrthik G.
A., Vijaya Krishna
Hassan, Mahbub
Yuan, Jinhong
author_facet Maruthi, Shree Prasad
K., Karrthik G.
A., Vijaya Krishna
Hassan, Mahbub
Yuan, Jinhong
contents The use of automotive radars is gaining popularity as a means to enhance a vehicle's sensing capabilities. However, these radars can suffer from interference caused by transmissions from other radars mounted on nearby vehicles. To address this issue, we investigate the use of an onboard intelligent reflective surface (IRS) to artificially increase a vehicle's effective radar cross section (RCS), or its "electromagnetic visibility." Our proposed method utilizes the IRS's ability to form a coherent reflection of the incident radar waveform back towards the source radar, thereby improving radar performance under interference. We evaluated both passive and active IRS options. Passive IRS, which does not support reflection amplification, was found to be counter-productive and actually decreased the vehicle's effective RCS instead of enhancing it. In contrast, active IRS, which can amplify the reflection power of individual elements, effectively combats all types of automotive radar interference when the reflective elements are configured with a 15-35 dB reflection gain.
format Preprint
id arxiv_https___arxiv_org_abs_2404_16253
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Mitigating Automotive Radar Interference using Onboard Intelligent Reflective Surface
Maruthi, Shree Prasad
K., Karrthik G.
A., Vijaya Krishna
Hassan, Mahbub
Yuan, Jinhong
Signal Processing
The use of automotive radars is gaining popularity as a means to enhance a vehicle's sensing capabilities. However, these radars can suffer from interference caused by transmissions from other radars mounted on nearby vehicles. To address this issue, we investigate the use of an onboard intelligent reflective surface (IRS) to artificially increase a vehicle's effective radar cross section (RCS), or its "electromagnetic visibility." Our proposed method utilizes the IRS's ability to form a coherent reflection of the incident radar waveform back towards the source radar, thereby improving radar performance under interference. We evaluated both passive and active IRS options. Passive IRS, which does not support reflection amplification, was found to be counter-productive and actually decreased the vehicle's effective RCS instead of enhancing it. In contrast, active IRS, which can amplify the reflection power of individual elements, effectively combats all types of automotive radar interference when the reflective elements are configured with a 15-35 dB reflection gain.
title Mitigating Automotive Radar Interference using Onboard Intelligent Reflective Surface
topic Signal Processing
url https://arxiv.org/abs/2404.16253