Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Wave-front matching measurement in coherent CO2 laser-radar

Not Accessible

Your library or personal account may give you access

Abstract

Wave-front matching of the local oscillator beam and the signal beam is of vital importance in optical heterodyne efficiency. A method for aligning the local oscillator beam and the signal beam is described. Mixing efficiency is improved. One can directly observe the matching procedure on an oscilloscope.

© 1992 Optical Society of America

Full Article  |  PDF Article
More Like This
Measured signal amplitude distributions for a coherent FM-cw CO2 laser radar

Dietmar Letalick, Ingmar Renhorn, and Ove Steinvall
Appl. Opt. 25(21) 3927-3938 (1986)

Coherent laser radar performance for general atmospheric refractive turbulence

Rod G. Frehlich and Michael J. Kavaya
Appl. Opt. 30(36) 5325-5352 (1991)

Signal-to-noise-ratio equations for a heterodyne laser radar

Charles A. DiMarzio and Scott C. Lindberg
Appl. Opt. 31(21) 4240-4246 (1992)

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

Figures (3)

You do not have subscription access to this journal. Figure files 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

Equations (7)

You do not have subscription access to this journal. Equations 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.