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A constant false alarm rate frame detector for satellite‐based automatic identification system
Author(s) -
Zhou Haosu,
Wang Jianxin,
Zhang Peixin,
Ban Tian
Publication year - 2016
Publication title -
international journal of satellite communications and networking
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.388
H-Index - 39
eISSN - 1542-0981
pISSN - 1542-0973
DOI - 10.1002/sat.1189
Subject(s) - constant false alarm rate , computer science , false alarm , detector , frame (networking) , additive white gaussian noise , detection theory , frame synchronization , real time computing , white noise , offset (computer science) , frequency offset , algorithm , speech recognition , synchronization (alternating current) , artificial intelligence , telecommunications , channel (broadcasting) , programming language , orthogonal frequency division multiplexing
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.