With the continuous development of LiDAR, the global market for 905nm semiconductor lasers has steadily expanded. According to the 2025–2030 In-depth Market Research and Development Prospect Forecast Report on China’s 905nm Laser Chip Industry released by the NewSight Industry Research Center, 905nm semiconductor lasers are widely used in LiDAR due to their low cost and reliable performance. As a major domestic manufacturer of 905nm semiconductor lasers, Erdi regards technological advancement in this area as one of its core development priorities. This article primarily introduces the role of spectroscopy in advancing semiconductor laser technology.
1. Technical Principles
Spectroscopy is a discipline that studies the interaction between light and matter. By examining the energy band structure of semiconductor materials and the electron-hole recombination process, it reveals that the generation of semiconductor lasers is fundamentally driven by injecting current into a semiconductor material. This causes electrons to transition from the conduction band to the valence band, where they recombine with holes, releasing energy and emitting photons. Spectral analysis can determine the relationship between quantum well thickness, composition, and emission wavelength, thereby allowing precise tuning of the laser wavelength to approximately 905nm and guiding the optimized design of quantum well structures for 905nm semiconductor lasers.
2. Supporting Research on Doping Concentration and Carrier Transport
Spectroscopy, combined with Hall effect measurements, can be used to study how doping concentration affects carrier density, mobility, and recombination efficiency. Specifically, spectral detection can monitor luminescence intensity and threshold current density under various doping levels, helping to identify optimal doping schemes. This reduces the threshold current and enhances the efficiency of semiconductor lasers.
3. Ensuring Laser Wavelength Stability
Spectrometers can accurately measure the laser’s output wavelength to ensure it remains within the 905nm ± 5nm range, satisfying the wavelength compatibility requirements of LiDAR systems. Furthermore, spectroscopy can analyze laser modes and linewidths to improve distance resolution and anti-interference capability in LiDAR. It also enables long-term monitoring of parameters such as wavelength drift and power degradation, providing essential data for evaluating laser lifespan and guiding maintenance.
4. Enhancing LiDAR System Adaptability
The 905nm semiconductor laser operates in the near-infrared band, where sunlight interference can be minimized using narrow-band optical filters. Spectroscopy can evaluate the overlap between the solar spectrum and the laser emission spectrum to optimize filter design and improve the signal-to-noise ratio. Additionally, 905nm lasers must match the spectral response range of InGaAs detectors. Spectroscopic detectors can measure quantum efficiency curves to ensure spectral alignment, thereby improving overall detection efficiency.
5. Optimizing Semiconductor Laser Structural Design
Spectroscopy can analyze the vertical cavity modes and wavelength uniformity of VCSELs (Vertical-Cavity Surface-Emitting Lasers). By adjusting the periodic thickness and refractive index of distributed Bragg reflectors (DBRs), designers can achieve single-mode output and high power density in 905nm VCSELs. Moreover, research on intersubband transitions in quantum wells—supported by spectroscopy—provides theoretical guidance for designing new near-infrared quantum cascade lasers (QCLs), facilitating the development of longer-wavelength semiconductor lasers.
Conclusion
It is evident that spectroscopy plays a vital role in the design, performance optimization, and application expansion of semiconductor lasers. It serves as a foundational technology for advancing the engineering and implementation of 905nm semiconductor lasers. In the future, as spectroscopy technologies continue to evolve, 905nm semiconductor lasers are expected to achieve further breakthroughs in areas such as power density and integration—driving LiDAR toward even more advanced applications.
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