南京师范大学学报：工程技术版2011，Vol.11Issue(3)：13-17,5.
估计噪声方差与Kalman滤波的传感器动态补偿
Dynamic Compensating of Sensor Based on Noise Variance Estimation and Kalman Filtering
陈战平1
作者信息
- 1. 南京师范大学计算机科学与技术学院,江苏南京210046
- 折叠
摘要
Abstract
After sensor dynamic compensation, the output signal of the noise is increased and the variance is unknown. In order to effectively suppress noise, a dynamic compensation algorithm of adopting Kalman filter de-noising is researched in unknown measurement noise variance. Parameters of the compensator were obtained by reference model and system identification. At the same time, Kalman filter was constructed with reference mode to eliminate high frequency effected measurement precision. On account of the compensator＇ s output signal piecewise approximated by a polynomial with a degree of M, the noise variance can be estimated to utilize vanishing moments of wavelet, and the Kalman filter under the unknown measurement noise variance condition is valid. Simulation experimental results show that the approach is effective.关键词
动态补偿/噪声/方差估计/滤波Key words
dynamic compensation/noise/variance estimation/filtering分类
信息技术与安全科学引用本文复制引用
陈战平..估计噪声方差与Kalman滤波的传感器动态补偿[J].南京师范大学学报：工程技术版,2011,11(3):13-17,5.
