Now showing 1 - 10 of 63
  • Publication
    Simulation of an optimized holographic wavefront sensor for realistic turbulence scenarios
    Atmospheric turbulence limits the performance of laser systems operating within the atmosphere. Therefore, adaptive optics systems are designed to measure and correct the effects of turbulence in real-time. A crucial part of such a system is the wavefront sensor. The modal holographic wavefront sensor is a promising alternative to well-established sensor types (e.g. Shack-Hartmann wavefront sensor). It measures the strength of individual aberration modes directly. Since there is no need for complex calculations, bandwidths in the megahertz range are possible. However, different aberration modes present in the laser beam influence each other's measurements. This inter-modal crosstalk has a very significant impact on the performance of the sensor. Careful design of the holographic sensor can reduce this influence. In this paper we show a method to optimize the sensor design for a given turbulence strength. We use a merit function to find the optimal combination of two design parameters: the detector size and the phase bias. This optimization is done on a mode-by-mode basis. We simulate realistic turbulence scenarios and evaluate the performance of the optimized holographic sensor. By considering the expected turbulence strength during the design process, we can increase the measurement accuracy significantly. We also compare two different modal bases and achieve a further improvement in accuracy when using Karhunen-Lòeve instead of Zernike modes. We evaluate the efficiency of an open-loop adaptive optics system based on the optimized holographic sensor and show that it can be used to correct the effects of realistic dynamic atmospheric turbulence.
  • Publication
    Wavefront sensing for terrestrial, underwater, and space-borne free-space optical communications
    ( 2021) ; ; ; ;
    Bellossi, Raphaël
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    Lechner, Daniel
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    Galicia Gasperin, Osvaldo Javier
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    We present several solutions to problems particular to adaptive optics for free-space laser-based communications. Specifically, for scenarios where strong scintillation is present, we have developed a digital, adaptable Shack-Hartmann wavefront sensor, as well as the modal holographic wavefront sensor based on the Karhunen-Loève modes. Additionally, using the same modal basis and optimization algorithms from deep learning, we have improved upon stochastic parallel gradient descent wavefront-sensorless approach. For underwater communications, we have set up a water tank and demonstrated real-time adaptive optics in the visible. For deep-space downlinks, we have investigated several wavefront sensing modalities with respect to their robustness to very low signal-to-background ratios expected during daytime. We also present results of data transmission experiments using coherent modulation over a 400-m double-pass horizontal link.
  • Publication
    Influence of bandwidth error on the performance of adaptive optics systems for uncooperative beacons
    We discuss the capability of adaptive optics to increase the performance of laser systems operating in atmospheric turbulence. Our approach is based on the Zernike filter functions, Taylor's frozen-flow hypothesis, and bandwidth limitations of a realistic servo control system. System performance is analyzed in terms of the Strehl ratio on target. Our results for plane-wave geometry indicate that adaptive optics can be effective even when engaging fast moving targets and that moderate closed-loop bandwidths of ∼100Hz would suffice for most analyzed scenarios. Applications of interest are beam delivery systems and free-space optical communications.
  • Publication
    Optimization of the holographic wavefront sensor for open-loop adaptive optics under realistic turbulence. Pt.I: Simulations
    The modal holographic wavefront sensor enables fast measurement of individual aberration modes without the need for time-consuming calculations. However, the measurement accuracy suffers greatly from intermodal crosstalk, caused when the wavefront contains more aberrations than the one to be measured. In this paper, we present sensor optimization to minimize this effect and show the improvement when using Karhunen-Lòeve instead of Zernike modes as the basis. Finally, we show in simulation that an open-loop adaptive optics system based on the optimized sensor can be used to correct the effect of realistic, dynamic atmospheric turbulence on a wavefront and increase its Strehl ratio significantly.
  • Publication
    Demonstration of GBit/s coherent free-space optical communications over an 800 m outdoor path
    ( 2021) ;
    Bellossi, Raphaël
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    Lambert, Andrew
    Coherent free-space optical (FSO) communications systems offer both an opportunity for significantly increased data rates and improved security compared to conventional radio frequency (RF) systems. A key challenge in implementing FSO systems is the characterization and mitigation of atmospheric turbulence present along the optical channel. In this work, we present experiments demonstrating coherent free-space optical communications over a two-pass 800 m link with data rates on the order of gigabits per second (Gbit/s). The link consists of a single telescope and retroreflector. At the start/end point of the monostatic link we have built an optical transceiver capable of coherent communications. We present here design considerations and results from transmission in moderate turbulence.
  • Publication
    Optimal, blind-search modal wavefront correction in atmospheric turbulence. Part I: Simulations
    Modal control is an established tool in adaptive optics. It allows not only for the reduction in the controllable degrees of freedom, but also for filtering out unseen modes and optimizing gain on a mode-by-mode basis. When Zernike polynomials are employed as the modal basis for correcting atmospheric turbulence, their cross-correlations translate to correction errors. We propose optimal modal decomposition for gradient-descent-based wavefront sensorless adaptive optics, which is free of this problem. We adopt statistically independent Karhunen-Loève functions for iterative blind correction and analyze performance of the algorithm in static as well as in dynamic simulated turbulence conditions.
  • Publication
    Straightness metric for measurement of turbulence-induced distortion in long-range imaging
    Algorithms used for mitigation of the effects of atmospheric turbulence on video sequences often rely on a process for creating a reference image to register all of the frames. Because such a pristine image is generally not available, no-reference image quality metrics can be used to identify frames in a sequence that have minimum distortion. Here, we propose a metric that quantifies image warping by measuring image straightness based on line detection. The average length of straight lines in a frame is used to select best frames in a sequence and to generate a reference frame for a subsequent dewarping algorithm. We perform tests with this metric on simulated data that exhibits varying degrees of distortion and blur and spans normalized turbulence strengths between 0.75 and 4.5. We show, through these simulations, that the metric can differentiate between weak and moderate turbulence effects. We also show in simulations that the optical flow that uses a reference frame generated by this metric produces consistently improved image quality. This improvement is even higher when we employ the metric to guide optical flow that is applied to three real video sequences taken over a 7 km path.
  • Publication
    Modelling, Measurement and Correction of Underwater Turbulence Effects on Optical Communications
    ( 2021) ; ;
    Montoya, Jose P.
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    Gasperin, Osvaldo Javier Galicia
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    We report on progress made in the last few years at Fraunhofer IOSB with regards to understanding the effects that underwater turbulence poses for laser-based communications and also with regards to design and implementation of efficient wavefront correction strategies. We have pursued, through parallel efforts, analytical modelling of light propagation through oceanic turbulence, conception and validation of turbulence characterization methods, and construction of "wavefront sensorless" adaptive optics for underwater communications.
  • Publication
    Impact of probability density function model choice in intensity-modulation direct-detection free-space optical communication analyses
    ( 2020)
    Beason, Melissa
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    Andrews, Larry C.
    Performance metrics such as mean-bit-error rate and probability of fade for free-space optical communication (FSOC) applications using intensity-modulation direct detection are theoretically calculated based on probability density functions (PDFs) describing irradiance fluctuations. Theoretical calculations using common PDF models can result in significant errors in prediction of performance metrics. In particular, these models do not consider the change in skewness of the distribution as the aperture size increases, and often positively skewed distributions (right tailed) are used to model scenarios where the true statistics are negatively skewed (left tailed). We evaluate the magnitude of errors in the prediction of bit-error rate and probability of fade based on simulation data for a collimated Gaussian beam in a realistic FSOC scenario for two strengths of turbulence and varying aperture sizes. The PDF models considered are lognormal, gamma-gamma, inverse-Gaussian-gamma, fractional exponential, exponentiated-Weibull, 3-parameter-Weibull, and normal distributions.