TY  - JOUR
T1  - Automatic Channel Coding Recognition Using Convolution-TKAN
AU  - Cha, Eunjae 
AU  - Lim, Wansu 
JO  - The Journal of Korean Institute of Communications and Information Sciences
PY  - 2025
DA  - 2025/1/1
DO  - 10.7840/kics.2025.50.4.603
KW  - Automatic channel coding recognition
KW  - CNN
KW  - KAN
KW  - wireless communication systems
AB  - Automatic channel coding recognition is a technology that automatically recognizes the channel coding type of the received signal in a wireless communication system, which contributes to improving the efficiency of data communication and smooth signal reception in non-cooperative communication situations where prior information is unknown. Recently, due to the development of deep learning technology, deep learning techniques have been utilized for automatic channel coding recognition. This paper proposes an automatic channel coding recognition technique based on Convolution-TKAN model. By simultaneously using a Convolution layer to extract local features and a TKAN layer to extract time-series features, it can efficiently learn various channel encoding methods. The proposed channel coding recognition technique improves the recognition accuracy by about 6% on average compared to common deep learning models such as CNN and GRU.