Precise optical modeling for LED lighting verified by cross correlation in the midfield region

Area of Science:

• Optoelectronics and Photonics
• Computational Modeling and Simulation

Background:

• Accurate simulation of light-emitting diode (LED) performance is crucial for optical system design.
• Existing modeling techniques may lack precision in predicting three-dimensional light patterns.

Purpose of the Study:

• To introduce a novel algorithm for precise 3D LED light pattern simulation.
• To establish a validation method for the simulation accuracy using experimental data.

Main Methods:

• Development of a new LED modeling algorithm.
• Utilization of normalized cross-correlation (NCC) for simulation validation.
• Testing across 1D intensity and 2D irradiance patterns at various distances.

Main Results:

• The proposed algorithm enables precise 3D light pattern simulation.
• NCC validation demonstrated high correlation between simulated and experimental results.
• An average NCC of 99% was achieved for a truncated inverse pyramid LED.

Conclusions:

• The novel LED modeling algorithm provides highly accurate 3D light pattern simulations.
• Normalized cross-correlation is an effective metric for validating simulation fidelity.
• The validated model offers reliable predictions for LED optical performance.