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Calculation of Pulse Fuze Signal’s Ambiguity Function and Study of Its Parameters Extraction Based on DSP

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Artificial Intelligence for Communications and Networks (AICON 2021)

Abstract

This paper proposes a method of LFM pulse fuze signal’s parameter extraction based on ambiguity function and implementation by DSP. Firstly, two-dimensional autocorrelation is done for the received signal, namely calculating the signal’s ambiguity function, then according to the characteristic of fuze signal, the characteristic parameters is extracted on ambiguity function. The whole system is based on TMS320C6416 chip produced by TI company. The simulation result shows that the frequency modulation characteristic of signal can be detected effectively and parameters can be estimated accurately, the method which needs no prior information has good anti-noise ability. The test result verifies that the system competed has high reliability and real-time property.

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© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wei, W., Huijie, Z., Zirong, B. (2021). Calculation of Pulse Fuze Signal’s Ambiguity Function and Study of Its Parameters Extraction Based on DSP. In: Wang, X., Wong, KK., Chen, S., Liu, M. (eds) Artificial Intelligence for Communications and Networks. AICON 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 396. Springer, Cham. https://doi.org/10.1007/978-3-030-90196-7_33

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  • DOI: https://doi.org/10.1007/978-3-030-90196-7_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90195-0

  • Online ISBN: 978-3-030-90196-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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