Triaxial Accelerometer Error Coefficients Identification with a Novel Artificial Fish Swarm Algorithm
Artificial fish swarm algorithm (AFSA) is one of the state-of-the-art swarm intelligence techniques, which is widely utilized for optimization purposes. Triaxial accelerometer error coefficients are relatively unstable with the environmental disturbances and aging of the instrument. Therefore, ident...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2015-01-01
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| Series: | Journal of Sensors |
| Online Access: | http://dx.doi.org/10.1155/2015/509143 |