FPGA based filter design for self-mixing interferometry signals

Authors

Yuan Sun, University of WollongongFollow
Yanguang Yu, University of WollongongFollow
Wenbing Fan, Zhengzhou University
Jiangtao Xi, University of WollongongFollow

RIS ID

50812

Publication Details

Y. Sun, Y. Yu, W. Fan & J. Xi, "FPGA based filter design for self-mixing interferometry signals," in 2011 International Conference on Optical Instruments and Technology: Optical Sensors and Applications, 2011, pp. 819909-1-819909-7.

Abstract

Self-mixing interferometry (SMI) signals are observed from a sensing system consisting of a laser diode with external optical feedbacks. SMI signals carry the information associated to both of the displacement and parameters of the SL. To retrieve the information precisely, pre-processing of SMI signals is the first key step. For achieving real-time, and high quality sensing, this paper proposes a Field-programmable gate arrays (FPGA) based filtering and normalizing processing for SMI signals. According to the noise features contained in SMI signal, a median filter and a wavelet transform based filter are combined for our design. Hardware co-simulation verified that the performance for this FPGA used filter design.