Modulated laser radar decoding by inter symbol interference

Xuesong Mao; Daisuke Inoue; Hiroyuki Matsubara; Manabu Kagami

doi:10.1117/12.873148

21 February 2011 Modulated laser radar decoding by inter symbol interference

Xuesong Mao, Daisuke Inoue, Hiroyuki Matsubara, Manabu Kagami

Proceedings Volume 7923, Free-Space Laser Communication Technologies XXIII; 79230A (2011) https://doi.org/10.1117/12.873148
Event: SPIE LASE, 2011, San Francisco, California, United States

Abstract

Pseudo Random Noise (PN) coded laser radar can improve the target detection ability without the demand on high power laser. However, the reflected echoes are generally so weak that they are buried in the thermal noise of the receiver, which raises the problem of choosing an optimal threshold for correctly decoding them since the power of echoes varies from time to time, and the voltage of light generated electrical signal by photo diode (PD) is always positive. In this work, we firstly show the problem we are going to discuss. Then, a novel method basing on Inter Symbol Interference (ISI) is proposed for solving the problem. Next, numerical simulations and experiments are performed to validate the method. Finally, we discuss the obtained results theoretically.

Citation Download Citation

Xuesong Mao, Daisuke Inoue, Hiroyuki Matsubara, and Manabu Kagami "Modulated laser radar decoding by inter symbol interference", Proc. SPIE 7923, Free-Space Laser Communication Technologies XXIII, 79230A (21 February 2011); https://doi.org/10.1117/12.873148

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