ISSN 1004-4140
CN 11-3017/P
Volume 25 Issue 6
Dec.  2016
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YANG Li, ZHANG Bao-jin, WEN Peng-fei, ZHANG Ru-wei, XUE Hua, GU Yuan. Study on Data Processing of Sub-bottom Profile Based on the Chirp Signal in Order to Distinguish Thin Layer[J]. CT Theory and Applications, 2016, 25(6): 653-660. DOI: 10.15953/j.1004-4140.2016.25.06.05
Citation: YANG Li, ZHANG Bao-jin, WEN Peng-fei, ZHANG Ru-wei, XUE Hua, GU Yuan. Study on Data Processing of Sub-bottom Profile Based on the Chirp Signal in Order to Distinguish Thin Layer[J]. CT Theory and Applications, 2016, 25(6): 653-660. DOI: 10.15953/j.1004-4140.2016.25.06.05
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Study on Data Processing of Sub-bottom Profile Based on the Chirp Signal in Order to Distinguish Thin Layer

  • 1. MLR Key Laboratory of Marine Mineral Resources, Guangzhou 510075, China;

  • 2. China Geology Survey Guangzhou Marine Geological Survey, Guangzhou 510075, China

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  • Received Date: May 16, 2016
  • Available Online: December 04, 2022
  • Published Date: December 24, 2016
    Graphical Abstract
    • Abstract
  • Sub-bottom profiler based on Chirp signal is widely used in the fields of engineering investigation, geological hazard assessment, gas hydrate investigation and deep sea resources exploration because of its high resolution. Due to the narrow bandwidth of the Chirp signal, the side lobe of cross-correlation result is serious. Conventional extraction envelope processing can suppress side lobe, but the resolution of the data is low. In this paper, the different theoretical models and the actual data are processed by the method of mutual correlation, extracting amplitude envelope and linear frequency extraction and their results are remarkable.
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