ATSC 3.0 Bootstrap Detection Based on Machine Learning Technique for Fast Detection of Emergency Alert Signal

Bootstrap is the first transmitted signal in ATSC 3.0 transmission frame. The first OFDM symbol of bootstrap signal is identical for all transmission frames, and has repetition patterns in time domain. The first bootstrap symbol is used for time/frequency synchronization and channel estimation. And the last three symbols contain the transmission frame parameters. In this paper, the machine learning-based bootstrap signal detection technique is proposed. For the machine learning technology, deep neural network (DNN) structure is considered. The proposed technique can detect the first bootstrap symbol with highly large time offset.