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| Dynamic Compensation of Micro-silicon AccelerometersBased on Error Whitening and Kalman Filtering |
| JIANG Nai-Song1,2,LIU Qing1,2 |
1. School of Computer Science and Technology, Nanjing Normal University, Nanjing, Jiangsu 210098, China
2. Jiangsu Research Center of Information Security & Confidentical Engineering, Nanjing, Jiangsu 210098, China |
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Abstract A dynamic compensator of micro-silicon accelerometer can be modeled with model reference and system identification.The compensator has severely noisy input/output by measurement noise and frequency response of compensator.Conventional techniques based on the mean squared-error criterion can at best provide a biased parameter estimate of the unknown system being modeled with noisy input/output.The output of compensator has severely distortion and noisy disturbance by biased parameter and widened frequency band. A new approach to solve the problem of compensator parameter estimation and noisy disturbance is proposed.With this approach,the parameter of the compensator is optimized by the error whitening criterion,according to the measurement data of the step response of the sensor and reference model. At the same time, Kalman filter is constructed with reference mode for eliminating the high frequency effects.
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2012, Vol. 33 
