In this paper, a nonlinear autoregressive exogenous (NARX) model with a wavelet network is applied to model and compensate the nonlinearity of the LED in Visible Light Communications (VLC). The NARX model shows the ability to accurately describe the response of the LED. PAM-4 signal with a symbol rate of 5 Msym/s is used to demonstrate the performance of the NARX adaptive compensator. The eyediagrams show that this compensator can substantially improve the distorted signal. The complexity of the NARX adaptive compensator is relatively low, with only 15 units. This also facilitates the adaptive parameters updating process due to the small number of parameters in the NARX adaptive compensator.
|Title of host publication||2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)|
|Publisher||Institute of Electrical and Electronics Engineers|
|Number of pages||5|
|Publication status||Published - 30 Aug 2021|
|Event||16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021 - Chengdu, China|
Duration: 1 Aug 2021 → 4 Aug 2021
Conference number: 16
|Conference||16th IEEE Conference on Industrial Electronics and Applications, ICIEA 2021|
|Period||1/08/21 → 4/08/21|
Bibliographical noteFunding Information:
This work was supported by the National Natural Science Foundation of China under Grant 62001174, Science and Technology Program of Guangzhou (No. 2019050001), Fundamental Research Funds for the Central Universities under Grant A0920502052101-127188, and by EU H2020 Project under Grant ELIOT 825651, Guangdong Provincial Key Laboratory of Optical Information Materials and Technology (No. 2017B030301007), MOE International Laboratory for Optical Information Technologies and the 111 Project.