Eliminating influence of transient oscillations on a self-mixing interferometry

Transient oscillations occur in a self-mixing interferometry (SMI) due to moderate or strong feedback. Such transient dynamics appear in the form of impulsive noises and degrade the sensing performance of an SMI-based sensing system. However, due to the complexity of the dynamics of the system, it is difficult to eliminate such impulse-like transients using conventional filtering techniques. A signal processing technique based on myriad filter is proposed to eliminate the transients. By numerically investigating the influence of the parameters of myriad filter on the transients, an adaptive algorithm is developed to ensure that the parameters are suitable for effectively eliminating the transients. The proposed technique is verified by experiments, and the results show that the transients can be effectively removed, leading to improved sensing performance for the SMI-based sensing system.