On received intensity for misaligned underwater wireless optical links

Liu, Jin-Xing; Dong, Yuhan; Zhang, Huihui

doi:10.1109/oceansap.2016.7485517

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…The performance of an UWOC system considering the link alignment for a collimated laser source was investigated in [17] by driving a closed‐form expression to outline the relationship between the transmit power, link span and the receiver (Rx) offset distance. In [18] the effect of elevation angle and field of view (FOV) of a Rx on the link misalignment for a collimated transmitted beam was reported. In [19] it was shown that the received light intensity decreases when both the divergence and elevation angles of a diffused point source increase.…”

Section: Introductionmentioning

confidence: 99%

Use of Gaussian beam divergence to compensate for misalignment of underwater wireless optical communication links

Vali

Michelson

Ghassemlooy

et al. 2017

IET Optoelectronics

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Section: Introductionmentioning

confidence: 99%

Use of Gaussian beam divergence to compensate for misalignment of underwater wireless optical communication links

Vali

Michelson

Ghassemlooy

et al. 2017

IET Optoelectronics

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“…The angle-of-elevation (AOE) and FOV of the Rx usually gets affected by the link misalignment. Also, when the AOE and the divergence angle for a point source are disturbed, it leads to a reduction in the received power [33]. In the literature, many solutions have been proposed to tackle the misalignment between the Tx and the Rx for performance improvement.…”

Section: Literature On O-ioutmentioning

confidence: 99%

Effect of Link Misalignment in the Optical-Internet of Underwater Things

et al. 2020

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Underwater wireless optical communication (UWOC) enables high-speed links in water for the optical Internet of Underwater Things (O-IoUT) networks. O-IoUT provides various marine applications, including ocean exploration, environmental monitoring, and underwater navigation. O-IoUT typically utilizes light-emitting diodes (LEDs) and different laser diodes (LDs) such as green/blue lasers to achieve efficient data communication in the underwater environment.The high-speed optical communication is limited up to a few tens of meters due to underwater channel impairments and misalignment between the transmitter (Tx) and the receiver (Rx). UWOC provides high-speed communications only in the line of sight conditions, and a small misalignment between the Tx and the Rx can degrade the system performance. In an attempt to understand and minimize this misalignment issue, we investigate how received power in a UWOC system depends on the transmitted beam's divergence angle. Simulation results are provided to show the effectiveness of the study by comparing the plane, Gaussian, and spherical beams. Monte Carlo simulations are utilized to determine the maximum allowable lateral offset between Tx and Rx for a given Tx divergence angle. The results provide an overview and design-based trade-off between different parameters such as lateral offset, the power received, and bandwidth of the channel. The proposed method improves not only the maximum allowed link-span but also the bandwidth of the channel for a given transmission distance.

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“…The above-mentioned process is repeated to record the motion pro- cess of the photon. 19 In the process of motion, photons collide with particles to produce scattering and absorption, and the weight of photons decreases after collision. The weight of the photons before and after collision is Wpost = Wpre ⋅ W th , where W th = b/c is the scattered albedo, which is the ratio of scattering to total attenuation.…”

Section: Introductionmentioning

confidence: 99%

Simulation analysis of underwater wireless optical communication based on Monte Carlo method and experimental research in complex hydrological environment

et al. 2023

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This paper aims to address the challenges of short optical communication distances and high Bit Error Rates (BERs) caused by seawater absorption, scattering, and underwater turbulence. This paper establishes an optical communication channel model based on the Monte Carlo method and simulates and analyzes the process of received optical power attenuation when light is transmitted underwater due to absorption and scattering. The simulation model focuses on the influence of seawater type, transmission distance, receiver position, and angle on the received optical power attenuation. The results of this simulation will provide theoretical support for the development of prototype underwater optical communication systems and experiments in complex environments. To solve the long-range weak signal reception and processing issues in underwater optical wireless communication systems, this paper proposes the design and implementation of an underwater optical wireless communication system using optimized on-off keying high-power light-emitting diode/laser diode modulation technology and avalanche photodiode (APD)/photomultiplier (PMT) receiver modules. In addition, this paper describes the design of the underwater optical communication host computer software, which provides functions such as mode selection, BER monitoring, and file transfer. To test the performance of the proposed system, this paper conducts experiments in a 35 m long pool, fixed platform, and underwater mobile platform, as well as cross-air-water interface optical communication performance test experiments in a complex hydrological environment. The results show that the system achieved a 35 m underwater medium communication distance, transmission rate of 5–20 Mbps, and cross-domain wireless optical communication function under the condition of a BER of less than 10−6. The experiments also revealed that the communication distance decreases as the turbidity of the water body increases and the PMT receiver module selected at the receiver end has a longer communication distance than the APD receiver module. Overall, this paper demonstrates the feasibility of the proposed technology for underwater optical communication systems in complex waters, providing theoretical and data support for the next engineering practice.

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On received intensity for misaligned underwater wireless optical links

Cited by 9 publications

References 8 publications

Use of Gaussian beam divergence to compensate for misalignment of underwater wireless optical communication links

Use of Gaussian beam divergence to compensate for misalignment of underwater wireless optical communication links

Effect of Link Misalignment in the Optical-Internet of Underwater Things

Simulation analysis of underwater wireless optical communication based on Monte Carlo method and experimental research in complex hydrological environment

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