scholarly journals UKF based high-precision data fusion approach of orthogonal IMU sensors

2021 ◽  
Vol 1846 (1) ◽  
pp. 012078
Author(s):  
Xiaowen Zhang ◽  
Shuai Yuan ◽  
Jian Wu ◽  
Binzhuo Wang ◽  
Yu Sun
2019 ◽  
Vol 625 ◽  
pp. A145
Author(s):  
Geza Kovacs

We investigate the optimization of dataset weighting in searching for the orbital period of transiting planets when high-precision space-based data with a single transit event are combined with (relatively) low-precision ground-based (wide-field) data. The optimization stems from the lack of multiple events in the high-precision data and the likely presence of such events in the low-precision data. With noise minimization, we combined two types of frequency spectra: (i) spectra that use two fixed transit parameters (moment of the center of the transit and duration of the event) derived from the space data alone; (ii) spectra that result from the traditional weighted box signal search with optimized transit parameters for each trial period. We used many mock signals to test the detection power of the method. Marginal or no detections in the ground-based data may lead to secure detections in the combined data with the above weighting. Depending on the coverage and quality of the ground-based data, transit depths of ~0.05% and periods up to ~100 days are accessible by the suggested optimum combination of the data.


1995 ◽  
Vol 10 ◽  
pp. 258-258
Author(s):  
F.R. Stephenson ◽  
L.V. Morrison

AbstractRecords of solar and lunar eclipses in the period 700 BC to AD 1600 originating from the ancient and medieval civilisations of Babylon, China, Europe and the Arab world are amassed and critically appraised for their usefulness in answering questions about the long-term variability of the Earth’s rate of rotation. Results from previous analyses of lunar occultations in the period AD 1600-1955.5 and from high-precision data in AD 1955.5-1990 are included in the dataset considered in this paper.


2019 ◽  
Vol 12 (4-5) ◽  
pp. 1327-1340 ◽  
Author(s):  
Aiwan Fan ◽  
◽  
Qiming Wang ◽  
Joyati Debnath ◽  
◽  
...  

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