Self-mixing effect inside the fiber ring laser with different fiber-ends

Yang, Bo‐Suk; Wu, Shuang; Zhang, Wenhua; Gui, Huaqiao; Liu, Jianguo; Lü, Liang; Yu, Benli

doi:10.1016/j.optlastec.2013.09.018

Cited by 2 publications

(1 citation statement)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The inquiry into distance measurement based on SMI has attracted much attention during the past few decades due to its simplicity, compactness, and low cost [7]. Many methods have been presented which use the linear relation between beat frequency and distance [8][9][10][11][12][13], such as counting the number of mode hops [8] or utilizing the interpolated FFT [13].…”

Section: Introductionmentioning

confidence: 99%

Approach of Self-mixing Interferometry Based on Particle Swarm Optimization for Absolute Distance Estimation

Li¹,

Li²,

Kou³

et al. 2015

Journal of the Optical Society of Korea

View full text Add to dashboard Cite

To accurately extract absolute distance information from a self-mixing interferometry (SMI) signal, in this paper we propose an approach based on a particle swarm optimization (PSO) algorithm instead of frequency estimation for absolute distance. The algorithm is utilized to search for the global minimum of the fitness function that is established from the self-mixing signal to find out the actual distance. A resolution superior to 25 μm in the range from 3 to 20 cm is obtained by experimental measurement, and the results demonstrate the superiority of the proposed approach in comparison with interpolated FFT. The influence of different external feedback strength parameters and different inertia weights in the algorithm is discussed as well.

show abstract