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H. KHALAF1,2, A. HEMED1,*
In this simulation study, two identical laser devices are considered as if they represent a single laser device; the intent is to overcome limitations in simulation software, OptiSystem 21. Operating parameters for these two devices are selected to be the same. The study simulated the self-mixing nonlinear effect by optical feedback via single-mode optical fiber by following the Lang-Kobayashi model. Results for observed spectroscopy related to laser dynamics during self-mixing are included for large-scale fiber lengths (5, 10, and 15 km); this is to be able to employ sensing in harsh environments. Variations in signal parameters included polarization degree and state, which in practice arise with fiber bend and twist, resulting in birefringence and subsequently different group delay. They are considered in the experiment to control chaotic dynamics. Results confirmed effectiveness for suggested signal parameter variations by giving rise to laser dynamical chaoticity specifications. Calculated Correlation Dimension is fluctuated from 2.8158 to 3.1564 which approves the chaoticity for results. Accordingly, the observed spectrum bandwidth was changed to be 10 GHz with a fiber length of 5 km and 45° of polarization. The increase in chaotic signal bandwidth (BW) was reduced to 8.6 GHz at a 10 km optical fiber length and 0° polarization. As for 15 km, the bandwidth reached 8.6 GHz at -90° of polarization. These variations in laser spectrometry indicated more efficient sensors based on the high sensitivity property of chaotic dynamics. Such a novel sensor needs less complicated interferometry.
Polarization, Birefringence, Chaoticity, Laser diode, Self-mixing.
H. KHALAF, A. HEMED, Effect of self-mixing polarization on DFB laser diode chaotic dynamics, Optoelectronics and Advanced Materials - Rapid Communications, 20, 3-4, March-April 2026, pp.97-112 (2026).
Submitted at: Dec. 3, 2025
Accepted at: April 8, 2026
Optoelectronics and Advanced Materials - Rapid Communications
(2024): Impact Factor = 0.4 - Journal Citation Reports (Clarivate Analytics, 2025)
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