DFT-Based Channel Estimation Using Adaptive Window In ATSC 3.0

Discrete Fourier transform (DFT)-based channel estimation is well-known in pilot-aided systems. The conventional and improved DFT-based channel estimation methods use a windowing filter and additional processing with fixed parameters to reduce the noise effect. However, since the channel condition can be varied, the fixed parameters can deteriorate the performance. In this paper, we propose a DFT-based channel estimation method with a window size varying according to the channel environment. The simulation results show that the proposed DFT-based channel estimation outperforms the conventional and improved DFT-based channel estimation methods.