Novel lidar acquisition and processing method, insensitive to photon overlapping at detection of fast, highly dynamic backscattered signals

Anna Masheva; Ivan Grigorov; Dimatar Stoyanov

doi:10.1117/12.618862

22 April 2005 Novel lidar acquisition and processing method, insensitive to photon overlapping at detection of fast, highly dynamic backscattered signals

Anna Masheva, Ivan Grigorov, Dimatar Stoyanov

Author Affiliations +

Proceedings Volume 5830, 13th International School on Quantum Electronics: Laser Physics and Applications; (2005) https://doi.org/10.1117/12.618862
Event: 13th International School on Quantum Electronics: Laser Physics and Applications, 2004, Bourgas, Bulgaria

Abstract

A novel method for acquisition and preprocessing of intensive, highly dynamic lidar signals has been developed and tested with computer simulations. The method is based on the time-resolved counting of photon streams by convolving of photoevents into decayed oscillations, linear analog to digital sampling and deconvolution. It is effective simultaneously in analog, overlapped and photon counting regimes, saving the dynamics and the temporal resolution of lidar data for more than four orders (10⁴) of the illumination magnitude.

Citation Download Citation

Anna Masheva, Ivan Grigorov, and Dimatar Stoyanov "Novel lidar acquisition and processing method, insensitive to photon overlapping at detection of fast, highly dynamic backscattered signals", Proc. SPIE 5830, 13th International School on Quantum Electronics: Laser Physics and Applications, (22 April 2005); https://doi.org/10.1117/12.618862

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available