Abstract
Insect-inspired sensor fusion algorithms have presented a promising avenue in the development of robust and efficient systems, owing to the insects' ability to process numerous streams of noisy sensory data. The ring attractor neural network architecture has been identified as a noteworthy model for the optimal integration of diverse insect sensors. Expanding on this, our research presents an innovative bio-inspired ring attractor neural network architecture designed to augment the performance of microsatellite attitude determination systems through the fusion of data from multiple gyroscopic sensors.Extensive simulations using a nonlinear model of the microsatellite, while incorporating specific navigational disturbances, have been conducted to ascertain the viability and effectiveness of this approach. The results obtained have been superior to those of alternative methodologies, thus highlighting the potential of our proposed bio-inspired fusion technique. The findings indicate that this approach could significantly improve the accuracy and robustness of microsatellite systems across a wide range of applications.
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Seyed Mohammad Mehdi Hassani: As the corresponding author, Seyed Mohammad Mehdi Hassani played a pivotal role in the conception, design, and execution of the research. Seyed Mohammad Mehdi Hassani was actively involved in data collection, analysis, and interpretation, contributing significantly to the formulation of conclusions and implications of the study. Additionally, Seyed Mohammad Mehdi Hassani took the lead in drafting the manuscript, ensuring accuracy and adherence to scholarly standards.
Prof. Jafar Roshanianto: Prof. Jafar Roshanianto provided invaluable guidance and mentorship throughout the research process. His expertise and insights played a critical role in shaping the research direction, refining the methodology, and guiding the analysis. Prof. Jafar Roshanianto's continuous support and input greatly enriched the quality of the research and the resulting manuscript.
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Hassani. N, S.M.M., Roshanian, J. Innovative Exploration of a Bio-Inspired Sensor Fusion Algorithm: Enhancing Micro Satellite Functionality through Touretsky's Decentralized Neural Networks. J Intell Robot Syst 110, 60 (2024). https://doi.org/10.1007/s10846-024-02089-0
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DOI: https://doi.org/10.1007/s10846-024-02089-0