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Fast Algorithm of Single Scale Correlative Processing and Its Experimental Research

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High Performance Networking, Computing, Communication Systems, and Mathematical Foundations (ICHCC 2009, ICTMF 2009)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 66))

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Abstract

According to the characteristic of underwater high speed moving target, a signal detection and parameter estimation fast algorithm based on wideband Pro and Con frequency modulation HFM signal was advanced and a simulation on the algorithm was carried on. Through the lake test which simulates the echo of underwater high speed moving target, a DSP system with a core of TMS320C6701 was designed, realizing the fast algorithm of echo processing under the low SNR. The result of lake test indicates that the fast algorithm based on wideband correlative processing and its DSP system can effectively accomplish the detection and parameter estimation on the echo of high speed moving target under low SNR.

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Author information

Authors and Affiliations

  1. Dept. of Weaponry Eng., Naval Univ. of Engineering, Wuhan, 430033, China

    Ming Xing, Yuan Bingcheng & Liu Jianguo

Authors
  1. Ming Xing
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  2. Yuan Bingcheng
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  3. Liu Jianguo
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Editor information

Editors and Affiliations

  1. Intelligent Information Technology, Application Research Association, Hong Kong

    Yanwen Wu

  2. Wuhan Institute of Technology, China, Wuhan, Hubei, China

    Qi Luo

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© 2010 Springer-Verlag Berlin Heidelberg

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Xing, M., Bingcheng, Y., Jianguo, L. (2010). Fast Algorithm of Single Scale Correlative Processing and Its Experimental Research. In: Wu, Y., Luo, Q. (eds) High Performance Networking, Computing, Communication Systems, and Mathematical Foundations. ICHCC ICTMF 2009 2009. Communications in Computer and Information Science, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11618-6_5

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  • DOI: https://doi.org/10.1007/978-3-642-11618-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11617-9

  • Online ISBN: 978-3-642-11618-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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