基于DSP的小波滤波在光纤陀螺降噪中的应用
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- 英文论文题名：Application of DSP-based wavelet filter in FOG denoising
- 论文作者：詹苏昌 ; 刘佳康 ; 厉毓良 ; 张力
- 英文论文作者：ZHAN Su-chang ; LIU Jia-kang ; LI Yu-liang ; ZHANG Li ; AVIC Shaanxi Huayan Aero-Instrument Co. ; Ltd.
- 年：2016
- 作者机构：陕西华燕航空仪表有限公司;
- 论文关键词：光纤陀螺应用 ; 小波滤波仿真 ; DSP数字滤波 ; 噪声均方差
- 英文论文关键词：application of FOG ; wavelet filter ; DSP filter de-noise ; mean square error of noise
- 会议召开时间：2016-09-27
- 会议录名称：2016年光学陀螺及系统技术发展与应用研讨会论文集
- 语种：中文
- 分类号：TN96;TN713
- 学会代码：ZGGZ
- 会议名称：2016年光学陀螺及系统技术发展与应用研讨会
- 会议地点：中国江西九江
- 主办单位：中国惯性技术学会
- 学会名称：中国惯性技术学会
- 页数：3
- 文件大小：694k
- 原文格式：D
- 会议级别：全国
摘要
介绍了基于DSP芯片设计的小波滤波器在光纤陀螺中的应用。利用MATLAB对光纤陀螺输出信号进行了db4小波多层滤波降噪仿真计算,结果表明小波滤波方法对光纤陀螺的噪声具有抑制作用。研究了利用DSP实现db4小波滤波用于光纤陀螺降噪的方法,采用TMS320LF 2407芯片作为滤波载体实现了db4一层滤波。对陀螺进行滤波前后的实测对比,噪声均方差由6.1885减小至5.3081,实验结果说明db4小波滤波在工程上的应用价值。。
A method of Wavelet filter based on DSP using in FOG is introduced in this paper. The simulation of db4 Wavelet filter is performed through MATLAB. The results show that the db4 Wavelet filter is promised to reduce the noise of FOG. The Wavelet filter is programmed in TMS320LF2407 chip and connected with FOG's system. The FOG with Wavelet filter is tested on platform. After de-noised in DSP the FOG out signal' s mean square error is reduced from 6.1885 to 5.3081. The test result indicates that the Wavelet filter has positive effect on FOG.
A method of Wavelet filter based on DSP using in FOG is introduced in this paper. The simulation of db4 Wavelet filter is performed through MATLAB. The results show that the db4 Wavelet filter is promised to reduce the noise of FOG. The Wavelet filter is programmed in TMS320LF2407 chip and connected with FOG's system. The FOG with Wavelet filter is tested on platform. After de-noised in DSP the FOG out signal' s mean square error is reduced from 6.1885 to 5.3081. The test result indicates that the Wavelet filter has positive effect on FOG.
引文
[1]黄磊,王巍.闭环光纤陀螺的输出误差特性研究[J].中国惯性技术学报,2005,26(8):506-507.Huang Lei,Wang Wei.Output error characteristics of closed-loop FOG[J].Journal of Chinese inertial Technology,2005,26(8):506-507.
[2]Boscaro A,Jacquir S,Sanchez K,et al.Improvement of signal to noise ratio in electro optical probing technique by wavelets filtering[J].Microelectronics Reliability,2015,55(9-10):1585-1591.
[3]Ozbay Y,Kavsaoglu A R.An optimum algorithm for adaptive filtering on acoustic echo cancellation using TMS320-C6713 DSP[J].Digital Signal Processing,2010,20(1):133-148.
[4]Lagha M,Tikhemirine M,Bergheul S,et al.De-noised estimation of the weather Doppler spectrum by the wavelet method[J].Digital Signal Processing,2013,23(1):322-328.
[5]Zhou Zhi-rong,Hua Deng-xin,Wang Yu-feng,et al.Improvement of the signal to noise ratio of Lidar echo signal based on wavelet de-noised technique[J].Optics and Lasers in Engineering,2013,51(8):961-966.
[6]A multi resolution filtered-x LMS algorithm based on discrete wavelet transform for active noise control[J].Mechanical Systems and Signal Processing,2016,66-67:458-469.
[7]Burrus C S,Gopinath R A,Guo Haitao.Introduction to wavelets and wavelet transforms:A primer(小波与小波变换导论)[M].芮国胜,程正兴,王文,译.电子工业出版社,2013:66-76.
[8]田晓春,陈家斌,韩勇强,等.一种优化的小波阈值去噪方法在行人导航系统中的应用[J].中国惯性技术学报,2015,23(4):442-445.Tian Xiao-chun,Chen Jia-bin,Han Youg-qiang,et al.Application of optimized wavelet threshold de-nosing method in pedestrian navigation system[J].Journal of Chinese inertial Technology,2015,23(4):442-445.
[2]Boscaro A,Jacquir S,Sanchez K,et al.Improvement of signal to noise ratio in electro optical probing technique by wavelets filtering[J].Microelectronics Reliability,2015,55(9-10):1585-1591.
[3]Ozbay Y,Kavsaoglu A R.An optimum algorithm for adaptive filtering on acoustic echo cancellation using TMS320-C6713 DSP[J].Digital Signal Processing,2010,20(1):133-148.
[4]Lagha M,Tikhemirine M,Bergheul S,et al.De-noised estimation of the weather Doppler spectrum by the wavelet method[J].Digital Signal Processing,2013,23(1):322-328.
[5]Zhou Zhi-rong,Hua Deng-xin,Wang Yu-feng,et al.Improvement of the signal to noise ratio of Lidar echo signal based on wavelet de-noised technique[J].Optics and Lasers in Engineering,2013,51(8):961-966.
[6]A multi resolution filtered-x LMS algorithm based on discrete wavelet transform for active noise control[J].Mechanical Systems and Signal Processing,2016,66-67:458-469.
[7]Burrus C S,Gopinath R A,Guo Haitao.Introduction to wavelets and wavelet transforms:A primer(小波与小波变换导论)[M].芮国胜,程正兴,王文,译.电子工业出版社,2013:66-76.
[8]田晓春,陈家斌,韩勇强,等.一种优化的小波阈值去噪方法在行人导航系统中的应用[J].中国惯性技术学报,2015,23(4):442-445.Tian Xiao-chun,Chen Jia-bin,Han Youg-qiang,et al.Application of optimized wavelet threshold de-nosing method in pedestrian navigation system[J].Journal of Chinese inertial Technology,2015,23(4):442-445.