低精度光纤陀螺随机误差的辨识与仿真Identification and simulation of Low-precise FOG random drifts errors simulation
刘英华,杨化超
摘要(Abstract):
陀螺随机漂移是影响惯性导航和组合导航精度的重要因素。为了有效辨识出光纤陀螺随机漂移噪声的参数,采用了自相关函数、功率谱密度和Allan方差对实测陀螺数据进行分析。实验结果表明:自相关函数、功率谱密度和Allan方差都能有效辨识出陀螺输出信号中的角度随机游走噪声,只有Allan方差能辨识出其中的角速率随机游走噪声。Allan方差可以为光纤陀螺随机漂移建模提供参考。
关键词(KeyWords): 光纤陀螺;随机漂移;Allan方差;功率谱密度
基金项目(Foundation):
作者(Author): 刘英华,杨化超
DOI: 10.16251/j.cnki.1009-2307.2012.06.002
参考文献(References):
- [1]吴富梅.GNSS/INS组合导航误差补偿与自适应滤波理论的拓展[D].郑州:信息工程大学,2010.
- [2]王雪平,李俊,张福斌.基于时间序列分析方法的FOG随机漂移建模与辨识[J].鱼雷技术,2007,15(4).
- [3]Sameh Nassar.Improving the Inertial Navigation System(INS)Error Model for INS and INS/DGPS Applications[D].Calgary:University of Calgary,2003.
- [4]Yi Yudan.On Improving the Accuracy and Reliability of GPS/INS-Based Direct Sensor Georeferencing[D].The Ohio State University Ph.D Dissertation,2007.
- [5]Naser El-Sheimy,Hou Haiying,Niu Xiaoji.Analysis and Modeling of Inertial SensorsUsing Allan Variance[C]//IEEE Transactions on Instrumentation and Measurement,2008,57(1):140-149.
- [6]熊凯,雷拥军,曾海波.基于Allan方差的光纤陀螺建模与仿真[J].空间控制技术与应用,2010,36(3).
- [7]葛升民,韩军良,沈毅,等.光纤陀螺随机建模与仿真研究[J].哈尔滨工程大学学报,2008,29(11).
- [8]Xing Zhiqiang,Demoz Gebre-Egziabher.Modeling and Bounding Low Cost Inertial Sensor Errors[C]//Position,Location and Navigation Symposium IEEE/ION PLNS,2008:1222-1232.
- [9]Arthur Gelb.Applied Optimal Estimation[M].Cambridge:Massachusetts Institute of Technology Press,1974.
- [10]Robert Brown,Patrick Hwang.Introduction to Random Sig-nals and Applied Kalman Filtering[M].New York:John Wiley&Sons,1997.