多种有色噪声自适应滤波算法的比较

基金项目: 国家自然科学基金资助项目(40274002,40474001);地球空间环境与大地测量教育部重点实验室开放研究基金资助项目(1469990324233-04-11)

详细信息

Comparison of Adaptive Filter Arithmetics in Controlling Influence of Colored Noises

¹ Xi'an Research Institute of Surveying and Mapping,1 Middle Yanta Road,Xi'an 710054,China;² Institute of Surveying and Mapping,Information Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China

Funds: 国家自然科学基金资助项目(40274002,40474001);地球空间环境与大地测量教育部重点实验室开放研究基金资助项目(1469990324233-04-11)

摘要: 将控制有色噪声影响的自适应滤波算法分为函数模型补偿滤波和随机模型补偿滤波两类。在介绍各种自适应滤波理论和模型的基础上,重点分析了各种自适应滤波算法的优缺点,并用实际算例进行了验证。
- 有色噪声 /
- 影响函数 /
- Kalman滤波 /
- 自适应估计 /
- 动态GPS
Abstract: The state vector augmenting filter,influence function correcting filter and functional model fitting filter are all discussed as the frame of functional model compensation filter.And the covariance matrix adaptive estimate filter,robust M-M filter and adaptively robust filter are discussed in the content of stochastic model compensating filter.Based on the theories and models of filters,the advantages and disadvantages of each filter are analyzed,and an example is given.
- colored noises /
- influence function /
- Kalman filter /
- adaptive estimation /
- kinematic GPS