Satellite-pose estimation using IMU sensor data and Kalman filter with RF-433 Mhz powered communication and helical antenna design for ground station

Satellite-pose estimation using IMU sensor data and Kalman filter with RF-433 Mhz powered communication and helical antenna design for ground station

Space research relies heavily on satellites, and technological developments are critical to the success of these missions. In order to estimate satellite pose, a simulation of an IMU sensor using Matplotlib is presented in this study. A roll, pitch, and yaw value analysis is performed on data obtain...

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Bibliographic Details
Main Authors: Biplov Paneru, Ankit Adhikari, Bishwash Paneru, Krishna Bikram Shah, Sanjog Chhetri Sapkota, Ramhari Poudyal, Khem Narayan Poudyal
Format: Article
Language:English
Published: Elsevier 2024-10-01
Series:Measurement: Sensors
Subjects:
Helical antenna
RF433
CubeSat
Bno-055
Kalman filter
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917424002617

Internet

http://www.sciencedirect.com/science/article/pii/S2665917424002617

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