Impedance and Frequency Response Dataset for Commercial LED Lamp Beads Across Different Brands and Array Configurations

Citation Author(s):
Xueming
Pan
Submitted by:
Xueming Pan
Last updated:
Thu, 11/07/2024 - 07:09
DOI:
10.21227/84ne-4r36
Data Format:
License:
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Abstract 

This dataset contains the impedance and frequency response test results of commercial LED lamp beads of different brands in multiple configurations. The dataset is divided into two parts: one is a single test of LED lamp beads of different brands, covering their impedance and frequency response characteristics; the other is a test of LED lamp beads with different array configurations (such as 1x3, 4x4, 2x1, etc.) to show their performance in the array structure. The test data can be used to analyze the nonlinear distortion and dynamic response characteristics of LED lamp beads in visible light communication (VLC) systems, and provide support for the study of LED array optimization in VLC systems. The establishment of this dataset aims to provide a basis for a deep understanding of the electrical characteristics of different LED lamp beads and their arrays, and to facilitate the design and optimization of high-performance VLC systems.

Instructions: 

This dataset includes impedance (res) and frequency response (fre) measurements of LED lamp beads from various brands and array configurations. The impedance data includes frequency (Hz) and impedance (Ohms) values, while frequency response data provides frequency, gain (dB), and phase (Degrees). Initial processing involves handling missing values, aligning frequency points across datasets, and unit conversions. For impedance, plot frequency versus impedance curves to observe high-frequency response patterns. For frequency response, visualize gain and phase against frequency to assess LED array bandwidth and stability. Analyze impedance changes and frequency-dependent gain/phase to identify nonlinearities and optimize VLC performance. Export cleaned data in CSVĀ  format for further analysis.

Funding Agency: 
the National Natural Science Foundation of China under Grant
Grant Number: 
62061030

Documentation

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File Dataset_Description.pdf26.66 KB