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Photonics
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24 July 2023

Atmospheric Pre-Compensation of Ground-to-Space Communications with Adaptive Optics: Past, Present and Future—A Field Review

Advanced Instrumentation and Technology Centre, Research School of Astronomy and Astrophysics, Australian National University, Mount Stromlo Observatory, Cotter Road, Weston Creek, ACT 2611, Australia
This article belongs to the Special Issue New Perspectives in Free-Space Optical Communications and Networks

Abstract

Conventionally used in astronomy, adaptive optics (AO) systems measure and correct for turbulence and, therefore, have the capability to mitigate the impact of the atmosphere on the ground-to-space communication links. Historically, there have been two main streams, respectively, advocating to use or not use adaptive optics on optical communications. This paper aims to present a comprehensive review of the field of AO-based uplink pre-compensation. It will cover the technical challenges associated with uplink correction, provide an overview of the state-of-the-art research and demonstrations from the early days to the present, and discuss the future prospects of AO-based uplink pre-compensation and potential trade-offs between performance, cost, and operational considerations.

1. Introduction

In the present and future era of space and ground assets, high data demands necessitate flexible network capabilities with large bandwidth. Optical communications offer a promising solution to this challenge, facilitating efficient, economically viable, global and integrated communications through optical inter-satellite links and optical space to/from ground transmissions. However, atmospheric turbulence poses a significant obstacle to the successful implementation of optical communications to and from the ground segment. The sensitivity of optical links to the atmosphere can lead to reductions of up to 10 times in the power reaching the satellite, significantly impairing the communications performance.
To overcome this limitation, adaptive optics (AO) offers a potential solution. AO systems are commonly employed in ground-based telescopes to compensate for light distortion caused by atmospheric turbulence. An AO system consists of a wavefront sensor (WFS) that measures real-time aberrations by imaging a reference light source in the sky and a deformable mirror (DM) that adjusts its shape to mitigate the undesirable effects on the light. A natural guide star (NGS) or a laser guide star (LGS) can serve as the reference light source. Advancements in AO technology are increasingly being applied to other domains, including optical communications through the atmosphere.
Space-to-ground optical links (downlinks) resemble the scenario encountered in astronomy where infrared laser light originating from the satellite travels downwards towards the Earth’s surface. This light is then received by an optical ground station, serving as a reference source for the wavefront sensor (WFS). In this case, conventional adaptive optics techniques can be directly applied to mitigate atmospheric disturbances affecting the laser downlinks. However, ground-to-space communications (uplinks) present a more significant scientific and technological challenge.
The paper is structured in the following manner: first, the basics of uplink pre-compensation using adaptive optics are explained, along with the associated technical difficulties, some of which have been resolved gradually over time while others remain unanswered. Second, it provides an overview of the timeline of uplink correction in the past 30 years, with an emphasis on current systems under development over the last five years. Additionally, a brief mention is made of uplink correction for deep space missions. Finally, the future prospects of uplink pre-compensation are discussed, including the trade-off between performance gain and the increased complexity of system and operations. This paper focuses solely on reviewing the application of adaptive optics techniques for classical ground-to-space atmospheric pre-compensation, and as such, it does not address downlink correction. The author intentionally chose not to mention quantum communications in the manuscript. It is important to note that AO pre-compensation for quantum uplinks is a relatively nascent area with only a very limited number of publications available.

3. First Studies and Demonstrations

The earliest mention of an adaptive optics system that considered the effect of anisoplanatism and scintillation was in a 1981 report by David L. Fried and Glenn A. Taylor [5]. Their research was supported by the Defense Advanced Research Projects Agency of the USA Department of Defense and was published in the report “Strategic Laser Communications Uplink Analysis”. In this publication, Fried and Taylor extended the previous propagation theory to account for the effect of anisoplanatism between the two directions of sensing and correction, something directly applicable to the uplink AO pre-compensation.
Fried and Taylor concluded that the expected performance of an AO system for a laser transmitter is heavily affected by two additional contributors that had not been taken into consideration until then: the anisoplanatism term (as explained in the previous section) and what they called the “random apodization term”. The random apodization term refers to the intensity fluctuations caused by atmospheric scintillation, which can lead to a decrease in the amount of light received by the wavefront sensor.
This report laid the foundation for the use of AO in laser communications and paved the way for the subsequent research in this area. The principle of reciprocity, for which the “adaptive optics can apply a correction that corresponds to distorting an undistorted wavefront so that it is appropriately inverse to the reference signals wavefront distortion” [5], has since been widely used in adaptive optics.
The relationship between the fade and surge of an optical signal and the log-amplitude variance of a scintillated spherical wave was investigated by Yura and McKinley in 1983 [6]. Sasiela [7], in a separate contribution, presented a comprehensive methodology for calculating the log-amplitude variance specifically for a beam that undergoes compensation through adaptive optics. Building upon the research by Yura, McKinley, and Sasiela, Robert Tyson made a significant advancement by extending their analyses. Tyson explored the impact of pre-compensating a range of atmospheric modes and its subsequent effect on scintillation and gain on fade and surges in a ground-to-space optical link [8]. The mathematical expressions derived by Tyson have since become a reference for the research community.
The log-amplitude variance on a laser beam can be obtained by integrating the product of the spatial covariance function of the beam and the corresponding filtering functions that accurately depict the compensation achieved through adaptive optics:
σ x 2 = 0.2073 k 2 0 L d z C n 2 ( z ) d k k 11 / 3 x s i n 2 [ k 2 ( z L ) 2 k ] i = 0 N F i ( k , z ) ,
where L is the height of the space asset, z is the altitude of the atmospheric layers, k is the two-dimensional spatial frequency, and F ( k , z ) are filter functions for each of the N Zernike polynomial terms removed by the adaptive optics [8].
By solving the previous equation numerically for Zernike modes up to N = 32, Tyson concluded that the reduction in scintillation follows the relationship:
σ x 2 ( c o m p e n s a t e d ) σ x 2 ( u n c o m p e n s a t e d ) N ,
where N is the number of fully compensated Zernike modes.
However, it is important to note that the complete compensation of modes is not achievable in practice, and the corrections are limited by the presence of anisoplanatic effects and the finite bandwidth of the adaptive optics system. Tyson expressed the effective correction of the mode as [8]:
N e f f = S i s o S s e r v o N ,
The isoplanatic error is represented by S i s o = e x p [ ( θ / θ 0 ) 5 / 3 ] , where θ is the angle separating the two paths, and θ 0 is the isoplanatic angle for a given atmosphere [8]. The servo bandwidth error is represented by S s e r v o = e x p [ ( f G / f B W ) 5 / 3 ] , where f B W is the AO system bandwidth, and f G is the Greenwood frequency [9].
Tyson expanded on the study of intensity variance across the aperture by examining the probability of signal fades and surges at the receiver; the analysis focused on two cases of fades (3 dB and 6 dB, representing 50% and 75% decreases, respectively) and two cases of surges (3 dB and 6 dB, representing 2 × and 4 × increases in intensity, respectively), and investigated the thereon effect of correcting a number of Zernike modes in the uplink.
Tyson’s analysis revealed that implementing a ground-based AO system with more than 50 actuators distributed across the pupil could reduce the fade of the GEO uplink signal by a factor of three. This reduction assumes a 0.5 m aperture in both the ground and space segments, with a wavelength of 1550 nm. It is important to note that without accounting for the impact of anisoplanatism (which can be addressed by measuring the wavefront at the uplink location using a laser guide star), the AO system already demonstrates significant improvement by removing only 11 modes. Additionally, Tyson concluded that correcting 30 modes further reduces the average duration of signal fade by over four-fold. These findings highlight the significance of mitigating the effect of anisoplanatism through the use of a beacon directed towards the uplink location prior to transmission.
In 1996, the Japanese Communications Research Laboratory (currently known as National Institute of Information and Communications Technology-NICT) announced their intentions to launch an innovative program that would enable advanced communications through the atmosphere with AO pre-compensation [10,11]. The primary objective of the program was to establish a high-speed optical feeder link at 1.5 μm wavelength with a data rate of up to 10 Gbps between a ground station and a GEO satellite within a decade. Unfortunately, the program was terminated in 2006 due to budgetary constraints [12]. The AO system was planned to be used for an optical feeder link, included a 13-electrode bimorph deformable mirror and a Shack–Hartmann wavefront sensor. The primary goal of this bi-directional AO system was to correct the downlink and enhance its coupling efficiency into a single-mode fiber, as well as pre-compensate the feeder link using the same downlink signal with the wavefront sensor. The proposed system was a remarkable breakthrough at the time as it was the first AO system specifically designed for both downlink correction and pre-compensation of the uplink.
In the early 2000s, Tyson expanded his studies on scintillation and the effects of correcting some atmospheric modes and related them to the bit error rate (BER) [13]. The BER is defined as the probability of a bit error assuming a Gaussian distribution of the noise [1]:
P ( s , S N R ) = 1 2 e r f c i s 2 2 σ N ,
where e r c f is the complementary error function, i s is the instantaneous signal current, and σ N is the standard deviation of the noise, which Tyson carefully related to the scintillation and the adaptive optics correction by calculating the intensity variance on the communications uplink. This study builds upon the analysis of the BER as a function of the Zernike modes corrected by the adaptive optics (AO) system, and arrives at a similar conclusion: the removal of as few as ten Zernike modes can significantly increase the BER on the uplink and result in reductions from 10 1 to 10 3 at 30 elevation above the horizon. It should be noted that in this analysis, Tyson did not consider the effects of isoplanatic errors nor the limited control bandwidth of the AO system.
Simultaneously to Tyson’s research, the concept of two-deformable mirror full pre-compensation was first mentioned in the framework of achieving full-wave compensation (phase and amplitude) on horizontal laser beam transmission [14]. This technique involves the use of two deformable mirrors to compensate for both phase and amplitude distortions of the transmitted beam. While the focus of that publication is on horizontal beam propagation, its relevance to upward propagation cannot be overlooked, especially regarding pre-compensation considerations. It is important to note that AO systems for uplink correction are required to operate at very low elevation angles to ensure continuous operations. Therefore, advancements in horizontal beam pre-compensation are applicable to the field of uplink correction. Barchers and Fried analyzed via numerical simulations the performance of full-wave vs. phase-only correction on the horizontal beam. Specifically, it was concluded that the use of a phase-only system in the simulated horizontal beam propagation resulted in a maximum Strehl ratio of 0.8 (for D / λ L < 4 ). However, the implementation of the full-wave compensation technique achieved a nearly perfect Strehl ratio of 1. In the aforementioned manuscript, D represented the diameter of the telescope, and λ L , the Fresnel length being λ , the wavelength, and L, the total propagation length.
In 2016, the pioneering studies conducted by Tyson were further expanded to explore the relationship between optical ground stations located at different altitudes and feeder links to a GEO satellite [15]. The objective was to analyze the link budget and investigate the potential gain in the link margin due to the pre-compensation of the feeder link through AO techniques, in conjunction with packet-level coding, which is not covered in this article. The study aimed to evaluate the effectiveness of AO uplink correction in enhancing the performance of feeder links from ground stations situated at various elevations (300 m, 900 m and 1500 m above sea level). The findings revealed that the application of AO pre-compensation would significantly enhance the link margin for ground stations located at 300 m and 900 m above sea level; in these scenarios, without AO, the link would not be established. To the contrary, for ground stations located at a higher altitude of 1500 m above sea level, the addition of packet-level coding alone would be sufficient to close the link, obviating the need for AO correction. This study represents one of the initial references to the trade-off between the advantages/gain of AO pre-compensation vs. the complexity of the system that could be simply removed by changing the location of the ground transmitter.
The first publications describing dedicated test benches and laboratory demonstrations to explore the advantages of uplink correction started appearing in 2016. A laboratory simulation on the effect of the point-ahead angle at the Fraunhofer Institute for Applied Optics and Precision Engineering [16] was one of the first breadboards to investigate the effect of uplink pre-compensation. The setup emulated a bidirectional link with ALPHASAT from the 1-m ESA Optical Ground Station with an AO system pre-compensating the uplink using the downlink as a reference source for the wavefront sensor. Results from this breadboard experiment indicated that without atmospheric pre-compensation, only 3% of the data points would exhibit beam wander, resulting in the GEO satellite receiving at least 50% of the maximum irradiance.However, with pre-compensation, percentages of 73% ( + θ G E O ) and 66% ( θ G E O ) were achieved, corresponding to the most and least favorable case of emulated wind direction, respectively.
Over the course of the last half-decade, there has been a significant emergence of uplink AO pre-compensation modeling [17,18,19,20,21], feasibility studies, laboratory experiments, and first free-space demonstrations outdoors.
The years 2018 and 2019 witnessed the pioneering execution of the first reported outdoor demonstrations on uplink correction. An experiment known as the Optical Feeder Link Adaptive Optics (OFELIA) was conducted by the Dutch organization TNO (Toegepast Natuurwetenschappelijk Onderzoek) and the German Aerospace Centre DLR (Deutsches Zentrum fur Luft- und Raumfahrt) [22] with the aim of evaluating the effects of pre-compensation using AO and the point ahead angle on a 10 km link with a 300 m altitude difference between the transmitter and receiver. The research team measured the scintillation index and mean irradiance at the receiver for various configurations of corrected atmospheric modes. The findings revealed that the AO technology effectively enhanced the mean irradiance by a remarkable factor of 2.5. Additionally, it significantly reduced the scintillation index by a factor of 4.4 when emulating the point-ahead angle representative of a GEO-link scenario. In 2019, ONERA demonstrated a 13 km pre-corrected link with 1 km altitude difference (the FEEDELIO experiment [23]). The objective of this experiment was to validate the accuracy of the existing numerical simulation tools by comparing them with the experimental results. It was observed that the simulation model showed a high level of agreement in turbulence scenarios with small Rytov numbers, and it was less accurate when the scintillation effects became more pronounced. This disparity between the models and the experimental observations highlights the significance of incorporating an effective modeling approach for scintillation in the simulation tools for ground-to-space propagation through the atmosphere.

6. Present Challenges and Future Outlook

The performance of uplink communication systems is severely impacted by atmospheric turbulence. While increasing the power of the transmission may be a possible mitigation option, there is a limit to this approach due to non-linear effects with very high power lasers, still to be fully investigated in the context of optical communications. In conditions of strong turbulence, the atmospheric effects may render it impossible to establish a reliable link in the first place. Techniques such as using multiple apertures in the transmitter, combined with higher power, still perform less effectively than using adaptive optics for turbulence mitigation [40].
Pre-compensation with adaptive optics represents a significant advancement in improving the performance of uplink communication systems. By mitigating the effects of atmospheric turbulence, AO enhances the quality of the transmitted signal and enables higher data bandwidth. However, the development and implementation of AO systems can be intricate and expensive, leading to questions about their necessity in certain applications. The primary source of error in AO systems is anisoplanatism, which refers to the variation in optical path distortion across the field of view. To address this issue, laser guide star AO (LGS-AO) techniques were investigated [2,3]. LGS-AO utilizes a laser-generated artificial guide star to probe the atmospheric distortion at the uplink location, facilitating a more accurate correction than the one provided by sensing the wavefront on the downlink. Nevertheless, there are still technical challenges associated with LGS-AO, particularly concerning the tip-tilt indetermination problem, which refers to the difficulty of precisely measuring and correcting low-frequency atmospheric disturbances on artificial stars [4].
Developing LGS-AO systems for communication purposes requires a multidisciplinary team of experts; the technology is currently at relatively low TRLs in this context, indicating that further research and development are needed to mature the systems for practical deployment in the field of optical communications.
However, considerable progress has been made on AO and LGS-AO systems over the past decade, paving the way for simplification in the near future. There are several potential pathways for cost and complexity reduction in adaptive optics uplink correction. These could include the development of more affordable guide star laser systems and the consideration of different laser technologies. Additionally, incorporating the guidelines and best practices specifically designed for AO systems in the context of uplink pre-compensation could streamline the design and implementation processes. Finally, the integration of robotic AO systems that would require minimal supervision and engineering time could also contribute to simpler systems. These future actions could be avenues to cost and complexity reduction, facilitating a more widespread adoption of AO pre-compensation in ground-to-space communication links.

Funding

This research has been funded through the ANU Futures Scheme 2.0 Grant by the Australian National University.

Institutional Review Board Statement

Not applicable.

Acknowledgments

The author would like to acknowledge the fruitful conversations with colleagues in the adaptive optics and telecommunications communities. Particularly noteworthy were the engaging conversations during the Communications and Observations through Atmospheric Turbulence (COAT23) workshop, expertly hosted and organized by Durham University. Furthermore, the author acknowledges the productive exchanges with fellow professionals at the National Institute of Information and Communications Technology in Japan, the NASA Jet Propulsion Laboratory, and the European Space Agency, which greatly contributed to the development of this work.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ALASCAAdvanced Laser guide star Adaptive optics for Satellite Communication Assessment
AOAdaptive optics
BERBit error rate
CLCSCoudé laser communications system
DLRDeutsches Zentrum fur Luft- und Raumfahrt
DMDeformable mirror
ESAEuropean Space Agency
FEELINGSFEEder LINks optical Ground Station
ITUInternational Telecommunications Union
LGSLaser guide star
MOFMagneto-optical filters
NASANational Aeronautics and Space Administration
NICTNational Institute of Information and Communications Technology
OFELIAOptical feeder link adaptive optics
OFLOptical feeder link
OGSOptical ground station
SEPSun–Earth–Probe
SPESun–Probe–Earth
TNOToegepast Natuurwetenschappelijk Onderzoek
TOmCATTerabit Optical Communication Adaptive Terminal
TRLTechnology readiness level
WFSWavefront sensor

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