Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 15,
  • Issue 3,
  • pp. 030012-
  • (2017)

Remotely sensing an object’s rotational orientation using the orbital angular momentum of light (Invited Paper)

Not Accessible

Your library or personal account may give you access

Abstract

Remotely sensing an object with light is essential for burgeoning technologies, such as autonomous vehicles. Here, an object’s rotational orientation is remotely sensed using light’s orbital angular momentum. An object is illuminated by and partially obstructs a Gaussian light beam. Using an SLM, the phase differences between the partially obstructed Gaussian light beam’s constituent OAM modes are measured analogous to Stokes polarimetry. It is shown that the phase differences are directly proportional to the object’s rotational orientation. Comparison to the use of a pixelated camera and implementation in the millimeter wave regime are discussed.

© 2017 Chinese Laser Press

PDF Article
More Like This
Using a complex optical orbital-angular-momentum spectrum to measure object parameters

Guodong Xie, Haoqian Song, Zhe Zhao, Giovanni Milione, Yongxiong Ren, Cong Liu, Runzhou Zhang, Changjing Bao, Long Li, Zhe Wang, Kai Pang, Dmitry Starodubov, Brittany Lynn, Moshe Tur, and Alan E. Willner
Opt. Lett. 42(21) 4482-4485 (2017)

Observation of the rotational Doppler shift of a white-light, orbital-angular-momentum-carrying beam backscattered from a rotating body

Martin P. J. Lavery, Stephen M. Barnett, Fiona C. Speirits, and Miles J. Padgett
Optica 1(1) 1-4 (2014)

Measurement of the rotational Doppler frequency shift of a spinning object using a radio frequency orbital angular momentum beam

Mingyang Zhao, Xinlu Gao, Mutong Xie, Wensheng Zhai, Wenjing Xu, Shanguo Huang, and Wanyi Gu
Opt. Lett. 41(11) 2549-2552 (2016)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.