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Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23–24, 2021, Proceedings, Part I

Research Article

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

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  • @INPROCEEDINGS{10.1007/978-3-030-90196-7_33,
        author={Wu Wei and Zhu Huijie and Bu Zirong},
        title={Calculation of Pulse Fuze Signal’s Ambiguity Function and Study of Its Parameters Extraction Based on DSP},
        proceedings={Artificial Intelligence for Communications and Networks. Third EAI International Conference, AICON 2021, Xining, China, October 23--24, 2021, Proceedings, Part I},
        proceedings_a={AICON},
        year={2021},
        month={11},
        keywords={Fuze LFM pulse train signal Ambiguity function Digital signal process},
        doi={10.1007/978-3-030-90196-7_33}
    }
    
  • Wu Wei
    Zhu Huijie
    Bu Zirong
    Year: 2021
    Calculation of Pulse Fuze Signal’s Ambiguity Function and Study of Its Parameters Extraction Based on DSP
    AICON
    Springer
    DOI: 10.1007/978-3-030-90196-7_33
Wu Wei1, Zhu Huijie1, Bu Zirong1
  • 1: China Electronics Technology Group the 36th Research Institution, Key Laboratory, JiaXing

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.

Keywords
Fuze LFM pulse train signal Ambiguity function Digital signal process
Published
2021-11-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-90196-7_33
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