首页> 外文期刊>IEEE sensors journal >Spectral Processing of Self-Mixing Interferometric Signal Phase for Improved Vibration Sensing Under Weak- and Moderate-Feedback Regime
【24h】

Spectral Processing of Self-Mixing Interferometric Signal Phase for Improved Vibration Sensing Under Weak- and Moderate-Feedback Regime

机译:自混合干涉信号相位的频谱处理,可改善弱反馈和中反馈条件下的振动感应

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

In this paper, spectral processing of laser Self-Mixing (SM) interferometric signal phase has been carried out allowing better measurement accuracy for harmonic and arbitrarily shaped vibrations for an optical feedback based SM interferometric Laser Diode (LD) sensor. The resulting algorithm not only improves the measurement accuracy but also reduces the processing time (by a factor 3.45) as compared with a previous time-domain based displacement retrieval technique called the Phase Unwrapping Method (PUM). Fourier series based analysis of laser feedback phase is carried out to determine processing limits. The proposed algorithm has also been found to be robust against variation in optical feedback coupling C as well as additive noise. This use of spectral analysis not only increases the measurement accuracy but also retrieves information about target movement harmonics which can also be used in modal analysis applications of remote mechanical targets. Using an SM vibration sensor based on a LD emitting at 785 nm, this technique has provided an average RMS error of 12.5 nm (while that of PUM is 39 nm RMS) for harmonic target vibrations of 5 mu m amplitude. For reduced range of 1 < C < 2, an average RMS error of similar to 8 nm (similar to lambda/100) is obtained.
机译:在本文中,已经进行了激光自混合(SM)干涉信号相位的频谱处理,从而为基于光学反馈的SM干涉激光二极管(LD)传感器提供了更高的谐波和任意形状振动测量精度。与以前的基于时域的位移检索技术(称为相位展开方法(PUM))相比,所得算法不仅提高了测量精度,而且减少了处理时间(减少了3.45倍)。进行基于傅里叶级数的激光反馈相位分析以确定加工极限。还发现提出的算法对于抵抗光反馈耦合C的变化以及附加噪声具有鲁棒性。频谱分析的这种使用不仅可以提高测量精度,而且可以检索有关目标运动谐波的信息,这些信息也可以用于远程机械目标的模态分析应用中。使用基于785 nm发射LD的SM振动传感器,该技术为5μm振幅的谐波目标振动提供了12.5 nm的平均RMS误差(而PUM的平均RMS误差为39 nm RMS)。对于1

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