Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 34,
  • Issue 9,
  • pp. 2267-2279
  • (2016)

Performance of Subcarrier PSK Systems Using PSAM Maximum Likelihood Estimation in Turbulence Channels

Not Accessible

Your library or personal account may give you access

Abstract

A pilot-symbol assisted subcarrier phase-shift keying (PSK) free-space optical communication system is studied with maximum likelihood (ML) phase estimation. Using the phase error probability density function of ML estimation phase error, we study the error rate performance of the subcarrier PSK system with carrier phase error in lognormal and Gamma–Gamma turbulence channels. The closed-form expressions are derived for the asymptotic signal-to-noise ratio (SNR) performance loss for the imperfectly synchronized systems over turbulence channels, and the analytical expressions are verified with numerical results. These expressions reveal how the subcarrier PSK systems with ML estimated phase error are influenced by the pilot length and the modulation order in large SNR regimes.

© 2016 IEEE

PDF Article
More Like This
Bit-error rate performance of coherent optical M-ary PSK/QAM using decision-aided maximum likelihood phase estimation

S. Zhang, P. Y. Kam, J. Chen, and C. Yu
Opt. Express 18(12) 12088-12103 (2010)

Subcarrier Intensity Modulated Optical Wireless Communications in Atmospheric Turbulence With Pointing Errors

Xuegui Song, Fan Yang, and Julian Cheng
J. Opt. Commun. Netw. 5(4) 349-358 (2013)

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

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.