Photonic Interference Cancellation for LiDAR Sensors

James Garofolo, Yang Qi, Taichu Shi, Gabriel Tian, Ben Wu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We propose a multi-input LiDAR receiver that is capable of cancelling optical interference in the physical layer. This system leverages a blind source separation (BSS) technique to generate de-mixing parameters that can be implemented using photonic analog circuitry to separate interference signals from incoming ToF LiDAR pulses in real time. The system is capable of removing wideband optical noise in the form of environmental interference, free-space optical communication signals, other LiDAR sensors, and adversarial LiDAR spoofing devices without appreciably affecting the throughput of the sensor.

Original languageEnglish (US)
Pages (from-to)1279-1282
Number of pages4
JournalIEEE Photonics Technology Letters
Volume35
Issue number23
DOIs
StatePublished - Dec 1 2023

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

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