Jamming-Resilient LiDAR based on Photonic Blind-Source Separation

James Garofolo; Yang Qi; Taichu Shi; Ben Wu

Jamming-Resilient LiDAR based on Photonic Blind-Source Separation

James Garofolo
, Yang Qi
, Taichu Shi
, Ben Wu

Electrical Engineering

Rowan University

Research output: Contribution to journal › Conference article › peer-review

Abstract

We propose a system that cancels LiDAR interference signals in real time. This system uses blind source separation to separate signals in the same bandwidth, and is compatible with electro-optical analog circuitry.

Original language	American English
Article number	JW5A.47
Journal	Optics InfoBase Conference Papers
State	Published - 2022
Event	Frontiers in Optics, FiO 2022 - Rochester, United States Duration: Oct 17 2022 → Oct 20 2022

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

@article{24812c8e466b4f19a96d87160e38f5b5,

title = "Jamming-Resilient LiDAR based on Photonic Blind-Source Separation",

abstract = "We propose a system that cancels LiDAR interference signals in real time. This system uses blind source separation to separate signals in the same bandwidth, and is compatible with electro-optical analog circuitry.",

author = "James Garofolo and Yang Qi and Taichu Shi and Ben Wu",

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s); Frontiers in Optics, FiO 2022 ; Conference date: 17-10-2022 Through 20-10-2022",

year = "2022",

language = "American English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - Jamming-Resilient LiDAR based on Photonic Blind-Source Separation

AU - Garofolo, James

AU - Qi, Yang

AU - Shi, Taichu

AU - Wu, Ben

PY - 2022

Y1 - 2022

N2 - We propose a system that cancels LiDAR interference signals in real time. This system uses blind source separation to separate signals in the same bandwidth, and is compatible with electro-optical analog circuitry.

AB - We propose a system that cancels LiDAR interference signals in real time. This system uses blind source separation to separate signals in the same bandwidth, and is compatible with electro-optical analog circuitry.

UR - https://www.scopus.com/pages/publications/85146793619

UR - https://www.scopus.com/pages/publications/85146793619#tab=citedBy

M3 - Conference article

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JW5A.47

T2 - Frontiers in Optics, FiO 2022

Y2 - 17 October 2022 through 20 October 2022

ER -

Jamming-Resilient LiDAR based on Photonic Blind-Source Separation

Abstract

ASJC Scopus subject areas

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