Abstract
In order to realize the frame detection of signals which have different unique word (UW) lengths in multi-channel receiver, multiple UWs correlation detection algorithm is proposed. The algorithm judges whether the decision variable is greater than the threshold according to the UW length, from large to small, to determine whether a valid header is presented. Monte Carlo simulation is used to analyze the feasibility of the algorithm. In addition, a barrel shift register bank structure is adopted in hardware implementation, which can reuse multipliers to calculate the square magnitude of the correlation value and the energy of differential signal while traversing UWs. Simulations show that the proposed algorithm improves the detection performance and results in an easy-to-implement and resources saving structure.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhao, B. (2018). Design and Implementation of Multi-channel Burst Frame Detector. In: Gu, X., Liu, G., Li, B. (eds) Machine Learning and Intelligent Communications. MLICOM 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-319-73447-7_64
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DOI: https://doi.org/10.1007/978-3-319-73447-7_64
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