Eliminating noises contained in sensing signals from a self-mixing laser diode

The paper studied the noise elimination methods for the signals observed from a self-mixing-laser diode (SMLD) based sensing system. The core part of the sensing system consists of a LD, a lens and an external vibrating target. The proposed noise elimination methods are applied on both the simulated and experimental sensing signals. The results presented in the paper show the noise contained in the sensing signals can be effectively eliminated. As a consequence, the vibration trace of the target can be reconstructed with high accuracy using this sensing system. Disciplines Physical Sciences and Mathematics Publication Details Yu, Y., mei, T., Xi, J., Chicharo, J. F., Ye, H. & Wang, Z. (2010). Eliminating noises contained in sensing signals from a self-mixing laser diode. In Y. Zhang, J. Sasian, L. Xiang & S. To (Eds.), Proceedings of SPIE: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies (pp. 76560E-1-76560E-7). USA: SPIE. Authors Yanguang Yu, Tiemin Mei, Jiangtao Xi, Joe F. Chicharo, Huiying Ye, and Zhao Wang This conference paper is available at Research Online: http://ro.uow.edu.au/infopapers/3550 Eliminating Noises Contained in Sensing Signals from a Self-mixing Laser Diode Yanguang Yu Tiemin Mei, Jiangtao Xi, Joe F. Chicharo, Huiying Ye, Zhao Wang School of Electrical, Computer and Telecommunications Engineering University of Wollongong, Australia; School of Information Science and Engineering, Shenyang Ligong University, P. R. China ; School of Information Engineering, Zhengzhou University, P. R. China ; School of Mechanical Engineering, Xian Jiaotong University, P.R.China ABSTRACT The paper studied the noise elimination methods for the signals observed from a self-mixing-laser diode (SM-LD) based sensing system. The core part of the sensing system consists of a LD, a lens and an external vibrating target. The proposed noise elimination methods are applied on both the simulated and experimental sensing signals. The results presented in the paper show the noise contained in the sensing signals can be effectively eliminated. As a consequence, the vibration trace of the target can be reconstructed with high accuracy using this sensing system.