One new quality of the maximum-likelihood estimation of laser pointing system by use of return photon counts

Lei Zhou; Yi Tan; Ren Ge

doi:10.1117/12.868614

16 November 2010 One new quality of the maximum-likelihood estimation of laser pointing system by use of return photon counts

Lei Zhou, Yi Tan, Ren Ge

Author Affiliations +

Proceedings Volume 7843, High-Power Lasers and Applications V; 78430K (2010) https://doi.org/10.1117/12.868614
Event: Photonics Asia 2010, 2010, Beijing, China

Abstract

In all laser pointing systems, boresight and jitter are two fundamental pointing errors arising from vibrations and atmospheric turbulence. The maximum-likelihood estimation¹ advanced by Deva K.borah recently can simultaneously estimate jitter and boresight. Besides some traditional qualities just like high precision and speediness, the maximum-likelihood estimation has a new quality that the performance of this estimator is different when boresight and jitter errors are different. Furthermore, the Monte Carlo simulation results demonstrate that the maximum-likelihood estimation has a higher degree of precision when boresight is bigger than jitter. According to this, a careful analysis is made and some advice is given for the readers who wish to obtain high precise results.

Citation Download Citation

Lei Zhou, Yi Tan, and Ren Ge "One new quality of the maximum-likelihood estimation of laser pointing system by use of return photon counts", Proc. SPIE 7843, High-Power Lasers and Applications V, 78430K (16 November 2010); https://doi.org/10.1117/12.868614

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