System on Chip Implementation of Adaptive Moving Average Based Multiple-Model Kalman Filter for Denoising Fiber Optic Gyroscope Signal

2011 ◽  
Author(s):  
K.P. Karthik ◽  
P. Rangababu ◽  
Samrat L. Sabat ◽  
J. Nayak
Keyword(s):  
Kalman Filter ◽  
Fiber Optic ◽  
Moving Average ◽  
System On Chip ◽  
Multiple Model ◽  
Fiber Optic Gyroscope ◽  
On Chip

The Implementation and Validation of Multidimensional Kalman Filter in SoC System

2013 ◽  
Vol 694-697 ◽  
pp. 2656-2659
Author(s):  
Qing Zhen Zhang ◽  
Peng Long Jiang ◽  
Zhun Liu ◽  
Cong Wang ◽  
Fei Tao
Keyword(s):  
Kalman Filter ◽  
System On Chip ◽  
Software Platform ◽  
System A ◽  
Kalman Filter Algorithm ◽  
On Chip

Kalman filter is one of the most effective methods to recover the signal influenced by noise. Kalman filter algorithm is implemented by the MicroBlaze embedded in SoC (System on Chip) system. A software platform for validating the algorithm is proposed and a case study is given to illustrate its application.

Efficient hybrid Kalman filter for denoising fiber optic gyroscope signal

Optik ◽  
2013 ◽  
Vol 124 (20) ◽  
pp. 4549-4556 ◽  
Author(s):  
Rangababu Peesapati ◽  
Samrat L. Sabat ◽  
K.P. Karthik ◽  
J. Nayak ◽  
N. Giribabu
Keyword(s):  
Kalman Filter ◽  
Fiber Optic ◽  
Fiber Optic Gyroscope

ARMA model based adaptive unscented fading Kalman filter for reducing drift of fiber optic gyroscope

2016 ◽  
Vol 251 ◽  
pp. 42-51 ◽  
Author(s):  
Mundla Narasimhappa ◽  
J. Nayak ◽  
Marco Henrique Terra ◽  
Samrat L. Sabat
Keyword(s):  
Kalman Filter ◽  
Fiber Optic ◽  
Arma Model ◽  
Fiber Optic Gyroscope ◽  
Model Based
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