For a laser diode (LD) with high output power, it is difficult to precisely and quickly control its temperature because of the large thermal power involved. In this paper, a machine learning-based temperature controller for high-power LDs is reported. It is implemented by developing a back-propagation neural network (BPNN) with an adaptive dynamic adjustment strategy (ADAS) temperature controller which integrates a constant-current-source circuit into the conventional proportional-integral-derivative (PID) temperature-controlling circuit. Compared to the conventional PID controller, the speed of temperature control had been shortened from 1300 s to 350 s, the long-term temperature fluctuation was decreased from ±0.148% to ±0.082%, and the step response time could be decreased from 960 s to 210 s.
Wireless communication systems, which rely on radio frequencies (RFs), are widely utilized in various applications, such as mobile communications, radio frequency identification, marine networks, smart farms, and smart homes. Due to their ease of installation, wireless systems of…
KY3F10:Yb3+, Tm3+ upconversion microparticles (UCMPs) with varying Mn2+ doping concentrations were synthesized via a hydrothermal method. Under 980 nm laser excitation, the sample with 3 mol% Mn2+ doping demonstrated markedly enhanced luminescence performance, exhibiting a signif…
Accurate classification of optical communication signal quality is crucial for maintaining the reliability and performance of high-speed communication networks. While existing supervised learning approaches achieve high accuracy on laboratory-collected datasets, they often face d…
As the global demand for high-speed and high-capacity communication continues to surge, driven by cloud computing, artificial intelligence, 5G, virtual reality, and the Internet of Things (IoT), optical communication systems have emerged as the backbone of modern digital infrastr…
In this paper, we explore the enhancement of a 4.6 km dual-polarization 2 × 2 MIMO D-band photonic-assisted terahertz communication system using iterative pruning-based deep neural network (DNN) nonlinear equalization techniques. The system employs advanced digital signal process…
The traditional design method for terahertz metasurface biosensors is cumbersome and time-consuming, requires expertise, and often leads to significant discrepancies between expected and actual values. This paper presents a novel approach for the fast, efficient, and convenient i…