Abstract
The sensors' output datum are collected and optimized in the embedded system by adopting the low cost piezoelectric gyroscopes and accelerometers are adopted and the high precision A/D converter chip and the high performance DSP are used. The measured attitude data is optimized by the Kalman filter algorithm based on the fast wavelet transform and the multisensor data fusion technology. All these works optimize the attitude measurement data and lay a foundation for the following design to enhance the attitude measurement accuracy.
| Original language | English |
|---|---|
| Pages (from-to) | 596-599 |
| Number of pages | 4 |
| Journal | Yadian Yu Shengguang/Piezoelectrics and Acoustooptics |
| Volume | 29 |
| Issue number | 5 |
| Publication status | Published - Oct 2007 |
| Externally published | Yes |
Keywords
- Data optimization
- Filter
- Inertial measurement unit
- Piezoelectric gyroscope
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