首页> 外文会议>International meeting on opto-electronics engineering and materials research >Application with Wavelet Detection to Signal Process of SINS
【24h】

Application with Wavelet Detection to Signal Process of SINS

机译:小波检测在捷联惯导信号处理中的应用

获取原文

摘要

Aimed at disturbance caused from motor running and personnel ambulation during initial alignment process of SINS,a new signal detection method of disturbance based on wavelet analysis is brought out.Through analyzing original signal characteristic of FOG and the data with wavelet filter on disturbance base,finds out wavelet filter just have effectiveness to high frequency noise.Then T&L signal detecting law is introduced,and builds T&L signal with high frequency part of wavelet decomposing to estimates interfere time and then resample.Offiine simulation experiment results indicate the method can eliminate low frequency disturbance effectively and has certain apply value.
机译:针对SINS初始对准过程中电机运行和人员走动引起的干扰,提出了一种基于小波分析的干扰信号检测新方法。通过对FOG的原始信号特征和小波滤波器的数据进行分析,找出了干扰信号。引入T&L信号检测规律,利用小波的高频部分建立T&L信号,分解估计干扰时间,然后进行重采样。常规仿真实验结果表明该方法可以消除低频干扰。有效,具有一定的应用价值。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号