Abstract
Synchronization signal detection and time delay estimation are worth studying in underwater acoustic positioning. This paper proposes a signal capture algorithm first, which uses matching filter method with an adaptive dynamic threshold calculated by real time orthogonal sliding correlation. Fractional Fourier Transform (FRFT) is used to re-examine signals over the adaptive threshold and eliminate the false alarm signal for its characteristics which can separate signal and noise at a proper fractional order. Moreover, FRFT is also used to correct the time delay with its characteristics of time shift and frequency shift. The experiment result shows that the algorithm proposed decreases the false alarm probability and time delay error effectively.
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Acknowledgement
This work was supported by National Natural Science Foundation of China (Grant No. 61701422), Natural Science Foundation of Fujian Province of China (Grant No. 2017J01785), Open Research Fund from Shandong provincial Key Laboratory of Computer Network (Grant No. SKLCN-2015-01), and Open Research Fund from Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Ministry of Education (Xiamen University) (Grant No. 201602).
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Deng, Y., Yuan, F., Cheng, E., Yi, J., Li, Y. (2018). A Synchronization Detection and Time Delay Estimation Algorithm Based on Fractional Fourier Transform. In: Li, J., et al. Wireless Sensor Networks. CWSN 2017. Communications in Computer and Information Science, vol 812. Springer, Singapore. https://doi.org/10.1007/978-981-10-8123-1_18
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DOI: https://doi.org/10.1007/978-981-10-8123-1_18
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