Demonstration of vehicle-to-vehicle optical pointing, acquisition, and tracking for undersea laser communications

Hardy, Nicholas D.; Rao, Hemonth G.; Conrad, Stephen D.; Howe, Thomas; Scheinbart, Marvin S.; Kaminsky, Richard D.; Hamilton, Scott A.

doi:10.1117/12.2511178

Cited by 23 publications

(19 citation statements)

References 9 publications

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“…As shown in Fig. 1, the alignment task is considered at a horizontal plane with a horizontal position [x, y], surge velocity u, sway velocity v, yaw orientation ψ, and yaw angular velocity r because the pressure sensor can provide an accurate determination of absolute depth [8]. The AUV that transmits optical signals is regarded as the transmitting AUV.…”

Section: A Beam Alignmentmentioning

confidence: 99%

“…In involving AUVs scenarios, maintenance becomes challenging due to the external disturbances and uncertainties in the AUV dynamic model. Previous researches proposed the beam pointing control system to steer the beam for scanning and link acquisition [8] [9]. Based on the detected light intensity, these methods rapidly adjust the beam pointing to maintain the LOS link.…”

Section: Introductionmentioning

confidence: 99%

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Sim-to-Real Transfer for Underwater Wireless Optical Communication Alignment Policy between AUVs

Weng

Matsuda

Sekimori

et al. 2022

OCEANS 2022 - Chennai

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The underwater wireless optical communication (UWOC) technology provides a potential high data rate solution for information sharing between multiple autonomous underwater vehicles (AUVs). In order to deploy the UWOC system on mobile platforms, we propose to solve the optical beam alignment problem by maintaining the relative position and orientation of two AUVs. A reinforcement learning based alignment policy is transferred to the real world since it outperforms other baseline approaches and shows good performance in the simulation environment. We randomize the simulator and introduce the disturbances, aiming to cover the real distribution of the underwater environment. Soft actor-critic (SAC) algorithm, reward shaping based curriculum learning, and specifications of the vehicles are utilized to achieve the successful transfer. In the Hiratsuka sea experiments, the alignment policy was deployed on the AUV Tri-TON and successfully aligned with autonomous surface vehicle BUTTORI. It demonstrates a solution for combining the UWOC technology and AUVs team in the ocean investigation.

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Section: A Beam Alignmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Sim-to-Real Transfer for Underwater Wireless Optical Communication Alignment Policy between AUVs

Weng

Matsuda

Sekimori

et al. 2022

OCEANS 2022 - Chennai

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show abstract

“…Narrowbeam line-of-sight UWOC system needs a precise tracking system for the anti-jamming capacity and robustness as shown in Fig. 5 [107], [108]. On the other hand, the wide-beam UWOC system relieves the requirement of a tracking system by increasing the illumination area.…”

Section: B Deployment Of Mobile Dlos-based Optical Iout Systemmentioning

confidence: 99%

“…5. ROV-based pointing, acquisition, and tracking system integrated with narrow-beam optical IoUT system [108].…”

Section: B Deployment Of Mobile Dlos-based Optical Iout Systemmentioning

confidence: 99%

Current Trend in Optical Internet of Underwater Things

et al. 2022

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Our Earth is a "blue planet" that 70% of the surface is covered by the oceans, but most area of oceans remain largely unexplored. Besides supporting the Earth's ecosystem and moderating climate change, oceans are rich in economically relevant natural resources ready for harvesting, such as fishery, oil and gas, and mineral resources. Ocean observation and monitoring are therefore essential for environmental preservation and sea exploration. With the availability of advanced communication techniques, researchers began to look into distributed data acquisition and ocean interconnectivity, which engendered the concepts of intelligent ocean and the Internet-of-Underwater-Things (IoUT) framework. The framework is gaining traction since one could incorporate fiber sensing, acoustic, radio frequency, and optical wireless communication technologies to establish stable, broad-coverage, and massive ocean networks. The development of underwater internet beyond acoustic communication is still in its relative infancy, and therefore more aggregated research efforts from the related communities will be required to eventually achieve breakthroughs in comprehensive IoUT technologies. This review sheds light on the practical considerations and solutions to the challenges and robustness of the optical IoUT network in terms of channel characterization, turbulence studies, mobility, receiver optimization, and the application layer.

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“…To evaluate the practical UWOC performance, the pointing-acquisition-and-tracking (PAT) issues need to be evaluated. The Lincoln Lab at Massachusetts Institute of Technology demonstrated a tracking system on a remotely operated vehicles (ROVs) to solve the alignment issue for line-of-sight (LOS) UWOC systems [24]. In addition, the non-line-of-sight (NLOS) configuration has been proposed to relieve the alignment requirements [25]- [28].…”

Section: Introductionmentioning

confidence: 99%

Diffused-Line-of-Sight Communication for Mobile and Fixed Underwater Nodes

et al. 2020

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The misalignment of mobile underwater wireless optical communication (UWOC) systems, compounded by turbulence in underwater scenarios, is a practical problem that can be resolved through various means. This work describes a pulse-position-modulation-based (PPM-based) diffusedline-of-sight UWOC system that offers a solution to this issue. PPM is found to be power-efficient and, in terms of bit-error-ratio performance, outperforms on-off keying modulation and orthogonal frequency-division multiplexing modulation in complex dynamic underwater channels. Through indoor experiments and outdoor deployment, we validated the robustness of the proposed PPM-based mobile UWOC system. This work sheds light on the practical implementation of UWOC networks for relieving the strict positioning-alignment-and-tracking requirements when an underwater apparatus is transmitting or receiving signals on the fly.

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Demonstration of vehicle-to-vehicle optical pointing, acquisition, and tracking for undersea laser communications

Cited by 23 publications

References 9 publications

Sim-to-Real Transfer for Underwater Wireless Optical Communication Alignment Policy between AUVs

Sim-to-Real Transfer for Underwater Wireless Optical Communication Alignment Policy between AUVs

Current Trend in Optical Internet of Underwater Things

Diffused-Line-of-Sight Communication for Mobile and Fixed Underwater Nodes

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