Implementation of Translational Motion Dynamics for INS Data Fusion in DVL Outage in Underwater Navigation

Karmozdi, Ali; Hashemi, Mojtaba; Salarieh, Hassan; Alasty, Aria

doi:10.1109/jsen.2020.3042902

Cited by 16 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data Acquisition Focused [51], [52] Develop Efficient sensor node placement strategies [53] Develop Optimization strategy of computing processes [54], [55], [56], [57], [58], [59], [60], [61] Develop Output from specific sensors and interpreting process [62] Develop Routing strategies for power consumption efficiency [63], [64] Develop Data transmission speed enhancement for efficient data acquisition [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75] Develop Optimization strategies for ML, DL, RL, and specific algorithms [76], [77], [78], [79], [80], [81] Develop Optimal network resource management [82], [83], [84] Develop Integration of diverse sensors (Fusion), interpretation, and optimization strategies [85], [86], [87], [88], [89], [90], [91], [92] Develop RL model for optimizing interpretation Passive/Active Sound-navigation-and-ranging (SONAR) [93] Develop Efficient routing design for data acquisition optimization [94] Developing strategies for detecting...…”

Section: Researchmentioning

confidence: 99%

An Autonomous Underwater Vehicle Navigation Technique for Inspection and Data Acquisition in UWSNs

Wibisono,

Piran,

Song

et al. 2024

IEEE Access

View full text Add to dashboard Cite

This article introduces an innovative approach to the navigation of autonomous underwater vehicles (AUVs) in inspection and data acquisition missions within underwater wireless sensor networks (UWSNs). We combine at least five underwater navigation techniques to accomplish this mission, adapted from related works. These five techniques are employed to address at least four main challenges identified in inspection and data acquisition missions in UWSNs involving the use of AUVs, namely: communication constraints, energy usage optimization, precise navigation, and effective data acquisition. Limited simulations conducted demonstrate the reliability of the proposed model. The model successfully navigates to the target point in 3D coordinates X Y Z, assuming the launch point as d0 (10 40 40), and reaches the q-goal target point (45 45 0) within 21 seconds, with the addition of uattractive and urepulsive (magnetic beacon attraction force and repulsion force as simulation of underwater current disturbance factor). Furthermore, in the inspection and data acquisition mission in UWSN simulated as node points (o) in pink, AUV (*) in blue effectively follows the predetermined points while acquiring data, as indicated by green lines (-) within just 5 seconds, achievable by increasing the value of α (angle of attack) of the target node to reduce delay time. The evaluation of the experimental simulations has raised issues and future research challenges, including the development of environmental simulation challenges that can closely resemble real conditions, the measurement of energy usage effectiveness to reach each target point, and the potential development of underwater recharging techniques. Furthermore, there is a need for advanced precise navigation and the advancement of effective data acquisition techniques.

show abstract

Section: Researchmentioning

confidence: 99%

An Autonomous Underwater Vehicle Navigation Technique for Inspection and Data Acquisition in UWSNs

Wibisono,

Piran,

Song

et al. 2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…the water (DVL-WT) or bottom (DVL-BT). The velocity measurement precision of DVL reaches 0.2% [7,8]. But the signal will be lost when the acoustic wave meets strong sound absorption geology and marine biological block.…”

Section: Introductionmentioning

confidence: 98%

Calibration of the water track laser Doppler velocimeter based on pitch-independent laser Doppler velocimeter

Huang,

Wang,

Nie

et al. 2024

2024 International Conference on Optoelectronic Information and Optical Engineering (OIOE 2024)

View full text Add to dashboard Cite

“…becomes the most widely-used speed sensor to aid SINS in underwater navigation scenarios [1][2][3][4][5]. However, DVL can hardly meet the requirement of high concealment in military tasks on account of high transmittance for acoustic wave in the water.…”

Section: Introductionmentioning

confidence: 99%

A water track laser Doppler velocimeter for use in underwater navigation

Huang,

Wang,

Xiang

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

Doppler velocity log (DVL) is usually employed to suppress the divergency of the Strapdown Inertial Navigation System (SINS) in underwater navigation, which is not concealable due to high transmittance for acoustic wave in the water. To conduct underwater navigation task with high concealment, a differential laser Doppler velocimeter (LDV) working at water track mode is integrated with SINS in this paper. The developed LDV measures the advance velocity of the underwater carrier with respect to the surrounding water in underwater navigation scenario with advantages of high concealment, high real-time performance, high update rate, light weight, and small dimension. A dynamic river test was conducted to validate the underwater navigation performance of SINS/LDV integrated system. The experimental results show that during the voyage of 4493s and 5271.8m, the maximum horizontal positioning errors of the proposed SINS/LDV integrated underwater navigation system is 27.8m and the relative position error is less than 0.6% with respect to total distance. Therefore, the water track LDV is practical to aid SINS in underwater navigation environment.

show abstract

Implementation of Translational Motion Dynamics for INS Data Fusion in DVL Outage in Underwater Navigation

Cited by 16 publications

References 26 publications

An Autonomous Underwater Vehicle Navigation Technique for Inspection and Data Acquisition in UWSNs

An Autonomous Underwater Vehicle Navigation Technique for Inspection and Data Acquisition in UWSNs

Calibration of the water track laser Doppler velocimeter based on pitch-independent laser Doppler velocimeter

A water track laser Doppler velocimeter for use in underwater navigation

Contact Info

Product

Resources

About