SVR-based Blind Equalization on HF Channels with a Doppler Spread
Soon-Young Kwon, Ji-Hyeon Kim, Hyoung-Nam Kim · 2022
A transmission signal through a high-frequency (HF) channel is usually reflected by the ionospheric layers and become a multipath signal, resulting in inter-symbol interference (ISI). To remove ISI, a receiver recovers the multipath-faded signal by using channel equalization. Among various channel equalization methods, blind equalization that does not use training sequences draws an interest because it may increase bandwidth efficiency. The HF signal needs to be equalized with a small number of symbols due to a Doppler spread. Therefore, to equalize the HF channel signal, a batch method based on support vector regression (SVR) can be used. In this respect, we applied an SVR-based batch blind equalization to HF channels and then analyzed its performance.