Optimizing deep-space optical communication under power constraints

Marcin Jarzyna; Wojciech Zwoliński; Michał Jachura; Konrad Banaszek

doi:10.1117/12.2289653

15 February 2018 Optimizing deep-space optical communication under power constraints

Marcin Jarzyna, Wojciech Zwoliński, Michał Jachura, Konrad Banaszek

Proceedings Volume 10524, Free-Space Laser Communication and Atmospheric Propagation XXX; 105240A (2018) https://doi.org/10.1117/12.2289653
Event: SPIE LASE, 2018, San Francisco, California, United States

Abstract

We investigate theoretically the efficiency of deep-space optical communication in the presence of background noise. With decreasing average signal power spectral density, a scaling gap opens up between optimized simple-decoded pulse position modulation and generalized on-off keying with direct detection. The scaling of the latter follows the quantum mechanical capacity of an optical channel with additive Gaussian noise. Efficient communication is found to require a highly imbalanced distribution of instantaneous signal power. This condition can be alleviated through the use of structured receivers which exploit optical interference over multiple time bins to concentrate the signal power before the detection stage.

Conference Presentation

Citation Download Citation

Marcin Jarzyna, Wojciech Zwoliński, Michał Jachura, and Konrad Banaszek "Optimizing deep-space optical communication under power constraints", Proc. SPIE 10524, Free-Space Laser Communication and Atmospheric Propagation XXX, 105240A (15 February 2018); https://doi.org/10.1117/12.2289653

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