A constant false alarm rate frame detector for satellite‐based automatic identification system. (14th July 2016) - Zhou, Haosu
Summary: Frame detection is an important step in satellite‐based automatic identification system for its contributions in verifying the presence of automatic identification system signal before frame synchronization. In this paper, a constant false alarm rate frame detector is proposed, which exploits the feature implied in the training sequence, to realize frame detection in the presence of additive white Gaussian noise and frequency offset. False alarm probability is related with a threshold, which is independent of the signal and noise. For fixed false alarm probability, the relationship between detection performance and E b / N 0 is analyzed. Simulations prove that the proposed detector outperforms the detector based on cyclic autocorrelation when message collisions exist. Copyright © 2016 John Wiley & Sons, Ltd. Abstract : We propose a constant false alarm rate frame detector for satellite‐based automatic identification system in the presence of additive white Gaussian noise and frequency offset. False alarm probability and detection probability of the proposed detector, which is based on the periodicity of the training sequence, are analyzed in this paper. Simulation results prove that performance of the proposed detector is superior to that of the frame detector based on cyclic autocorrection when message collisions exist.