Mode selective up-conversion detection for LIDAR applications

Amin Shahverdi, Yong Meng Sua, Ivan Dickson, Malvika Garikapati, Yu Ping Huang

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

We study mode selective up-conversion detection as a viable approach to improving signal-to-noise and ranging resolution in LIDAR applications. It involves pumping a nonlinear waveguide at the edge of phase matching with picosecond pulses, so that only the backscattered signal photons in a single or few desirable time-frequency modes are e ciently up-converted while the broadband background noise in all other modes is rejected. We demonstrate a 41-dB increase in the signal-to-noise ratio for single-photon counting compared to that of direct detection using a commercial InGaAs single-photon detector, while achieving sub-millimeter ranging resolution with few detected photons. The proposed technique implies new LIDAR capabilities for ranging and imaging.

Original languageEnglish
Pages (from-to)15914-15923
Number of pages10
JournalOptics Express
Volume26
Issue number12
DOIs
StatePublished - 11 Jun 2018

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