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Statistics report
Feb. 2021
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 92
Paper Published : 2080
No. of Authors : 5929
  Journal Paper


Paper Title :
Analysis and Design of the Multiple Kalman Filter for GYRO Systems

Author :Kai-Yun Chou, Wu-Sung Yao, Chun-Yi Lin, Tang-Yu Cheng

Article Citation :Kai-Yun Chou ,Wu-Sung Yao ,Chun-Yi Lin ,Tang-Yu Cheng , (2019 ) " Analysis and Design of the Multiple Kalman Filter for GYRO Systems " , International Journal of Mechanical and Production Engineering (IJMPE) , pp. 52-55, Volume-7,Issue-10

Abstract : This paper presents an adapt filter system to reduce the noise of gyro system of unmanned aerial vehicle. Radial basis function network and multiply Kalman filter are used with vector acceleration and angular acceleration. The gyro noise feature can be estimated to adjust numbers of Kalman filter layers. The proposed method can increase reliability of gyro data. Keywords- Gyro, Radial basis function kernel, Kalman Filter.

Type : Research paper


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