JOURNAL ARTICLE

Timing Synchronization and Channel Estimation in Free-Space Optical OOK Communication Systems

Antonio A. D’AmicoGiulio ColavolpeTommaso FoggiMichele Morelli

Year: 2022 Journal:   IEEE Transactions on Communications Vol: 70 (3)Pages: 1901-1912   Publisher: IEEE Communications Society

Abstract

Fast and reliable synchronization in free-space optical (FSO) communications is a crucial task that has received little attention so far. Since in these applications the data rate is much higher than in traditional radio-frequency (RF) systems, novel technological constraints may arise in the design of the synchronization algorithms, as for example the need to operate at symbol rate instead with an oversampled data stream. In this work, we consider an FSO link and investigate the problem of channel estimation, symbol timing recovery and frame detection using a known synch pattern. The modulation format is on-off keying (OOK) and the received signal is plagued by a mixture of thermal and shot noise. By applying the least-squares criterion, we derive a novel synchronization scheme that can jointly retrieve all the unknown parameters using symbol-spaced samples. Although designed without taking the noise statistics into account, the estimator performance is assessed in a realistic scenario where shot noise is present. Comparisons are made with the relevant Cramér-Rao bound for the joint estimation of the synchronization parameters and signal-dependent noise variances. Numerical simulations and complexity analysis indicate that the resulting scheme performs satisfactorily with an affordable processing load. Hence, it represents a promising solution for fast synchronization in high-speed FSO communications.

Keywords:
Synchronization (alternating current) Computer science Channel (broadcasting) Symbol rate Estimator Noise (video) Keying Modulation (music) Communications system Electronic engineering Data stream Bit error rate Algorithm Real-time computing Telecommunications Mathematics Engineering Statistics Artificial intelligence

Metrics

21
Cited By
2.26
FWCI (Field Weighted Citation Impact)
28
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Optical Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optical Network Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Semiconductor Lasers and Optical Devices
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.