[1]赵立业,周百令,赵池航,等.基于奇异值分解的高精度重力仪信号处理方法[J].东南大学学报(自然科学版),2004,34(6):780-783.[doi:10.3969/j.issn.1001-0505.2004.06.014]
 Zhao Liye,Zhou Bailing,Zhao Chihang,et al.Signal processing method of precise gravimeter based on singular value decomposition[J].Journal of Southeast University (Natural Science Edition),2004,34(6):780-783.[doi:10.3969/j.issn.1001-0505.2004.06.014]
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基于奇异值分解的高精度重力仪信号处理方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第6期
页码:
780-783
栏目:
机械工程
出版日期:
2004-11-20

文章信息/Info

Title:
Signal processing method of precise gravimeter based on singular value decomposition
作者:
赵立业 周百令 赵池航 万振刚 马云峰
东南大学仪器科学与工程系, 南京 210096
Author(s):
Zhao Liye Zhou Bailing Zhao Chihang Wan Zhengang Ma Yunfeng
Department of Instrument Science and Technology, Southeast University, Nanjing 210096, China
关键词:
重力仪 信号处理 奇异值分解 自适应卡尔曼滤波
Keywords:
gravimeter signal processing singular value decomposition adaptive Kalman filtering
分类号:
TH761.5
DOI:
10.3969/j.issn.1001-0505.2004.06.014
摘要:
在分析基于矩阵奇异值分解理论的滤波算法基础上,将其应用到高精度海洋重力仪系统信号处理中.在信号处理过程中,首先采用延迟法理论重构系统的相空间,得到吸引子轨迹矩阵,然后对轨迹矩阵进行奇异值分解,用部分奇异值重构有用信号的最佳逼近矩阵,并与自适应卡尔曼滤波进行了对比分析,以实际信号与处理后信号的信噪比作为衡量2种信号处理方法好坏的依据.理论分析和仿真实验表明,奇异值分解滤波方法和自适应卡尔曼滤波都能在一定程度上消除干扰噪声对重力异常信号的影响,但在相同背景条件下,奇异值分解滤波的性能优于自适应卡尔曼滤波.
Abstract:
Compared with adaptive Kalman filtering, the theory of filtering based on matrix singular value decomposition(SVD)is analyzed and applied to process the signal measured by precise gravimeter. Preliminary work is to form a trajectory matrix with time delay embedding theory during the signal processing. SVD is then used to distinguish the signal from the noise. The signal to noise ratio(SNR)is used as the index for evaluating the performance of the signal processing methods. Theoretical analysis and emulation experiments indicate that both SVD filtering and adaptive Kalman filtering are effective in alleviating the effects of different noise, but the performance of SVD filtering is better than that of adaptive Kalman filtering.

参考文献/References:

[1] 刘献栋,潘存治,杨绍普.基于奇异值分解的信号处理方法及其频谱特征[J].石家庄铁道学院学报,2001,14(1):29-32.
  Liu Xiandong,Pan Cunzhi,Yang Shaopu.A signal processing method based on singular value decomposition and its feature of frequency spectrum [J].Journal of Shijiazhuang Railway Institute, 2001,14(1):29-32.(in Chinese)
[2] 滕丽娜.基于分形的信号处理技术在设备故障诊断中的应用研究[D].上海:上海交通大学机械工程系,2002.
[3] Shin K,Hammond J K,White P R.Iterative SVD method for noise reduction of low-dimensional chaotic time series [J]. Mechanical Systems and Signal Processing, 1999,13(1):115-124.
[4] Lilly B T,Paliwal K K.Robust speech recognition using singular value decomposition based speech enhancement [J]. Computer Standards and Interfaces,1999,20(6,7):454.
[5] Paul J S,Reddy M R,Kumar V J.A transform domain SVD filter for suppression of muscle noise artefacts in exercise ECG’s [J]. IEEE Transactions on Biomedical Engineering, 2000,47(5):654-663.
[6] Navarro-Esbrí J,Verdú G,Ginestar D,et al.Reactor noise analysis based on the singular value decomposition(SVD)[J].Annals of Nuclear Energy, 1998,25(12):907-921.
[7] Yang Wenxian,Tse Peter W.Development of an advanced noise reduction method for vibration analysis based on singular value decomposition [J].NDT & E International,2003,36(6):419-432.
[8] Sadasivan P K,Dutt D Narayana.SVD based technique for noise reduction in electroencephalographic signals [J]. Signal Processing, 1996,55(2):179-189.
[9] 吕志民,张武军,徐金梧.基于奇异谱的降噪方法及其在故障诊断技术中的应用[J].机械工程学报,1999,35(3):85-88.
  Lü Zhimin,Zhang Wujun,Xu Jinwu.A noise reduction method based singular spectrum and its application in machine fault diagnosis [J]. Chinese Journal of Mechanical Engineering, 1999,35(3):85-88.(in Chinese)
[10] 王东生,曹磊.混沌、分形及其应用 [M].合肥:中国科技大学出版社,1995.156-192.
[11] 赵立业,周百令,赵池航,等.分形滤波在高精度海洋重力仪数据处理中的应用研究[J].中国惯性技术学报,2004,12(3):32-36.
  Zhao Liye,Zhou Bailing,Zhao Chihang,et al.Application of fractal filtering in gravitational signal processing [J].Journal of Chinese Inertial Technology, 2004,12(3):32-36.(in Chinese)

相似文献/References:

[1]赵池航,周百令.多重小波分析在高精度重力仪数据处理中的应用[J].东南大学学报(自然科学版),2003,33(4):430.[doi:10.3969/j.issn.1001-0505.2003.04.012]
 Zhao Chihang,Zhou Bailing.Research on application of multiwavelet to data process of precise gravimeter[J].Journal of Southeast University (Natural Science Edition),2003,33(6):430.[doi:10.3969/j.issn.1001-0505.2003.04.012]
[2]赵立业,李宏生,周百令,等.基于形态小波的高精度重力仪信号快速滤波算法[J].东南大学学报(自然科学版),2010,40(6):1217.[doi:10.3969/j.issn.1001-0505.2010.06.017]
 Zhao Liye,Li Hongsheng,Zhou Bailing,et al.in precise gravimeter signal processing[J].Journal of Southeast University (Natural Science Edition),2010,40(6):1217.[doi:10.3969/j.issn.1001-0505.2010.06.017]

备注/Memo

备注/Memo:
作者简介: 赵立业(1977—),男,博士生; 周百令(联系人),男,教授,博士生导师, zhoubailing@seu.edu.cn.
更新日期/Last Update: 2004-11-20