HIGHLIGHTS
- who: Liang Ren et al. from the College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China have published the research work: Predicting Spacecraft Telemetry Data by Using Grey-Markov Model with Sliding Window and Particle Swarm Optimization, in the Journal: Journal of Mathematics 2.0 of 17/Oct/2022
- what: Given the spacecraft orbits are relatively regular and the operating conditions vary periodically, this work focuses on analog telemetry series and pseudo-periodic phenomena. To predict telemetry data, the authors show herein that PGMSW makes better predictions than GM and GMSW models . . .
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