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HAN Yi-na, YANG Yi-xin, LIU Qing-yu, MA Yuan-liang. The Technology of Feature-Aided Underwater Acoustic Fusion Detection[J]. Journal of Unmanned Undersea Systems, 2018, 26(6): 581-587. doi: 10.11993/j.issn.2096-3920.2018.06.012
Citation: HAN Yi-na, YANG Yi-xin, LIU Qing-yu, MA Yuan-liang. The Technology of Feature-Aided Underwater Acoustic Fusion Detection[J]. Journal of Unmanned Undersea Systems, 2018, 26(6): 581-587. doi: 10.11993/j.issn.2096-3920.2018.06.012

The Technology of Feature-Aided Underwater Acoustic Fusion Detection

doi: 10.11993/j.issn.2096-3920.2018.06.012
  • Publish Date: 2018-12-31
  • To overcome the problems such as high clutter rate, dim target, and low detection rate of sensors in multi-static sonar network, increasing attention has been paid to the feature-aided underwater acoustic fusion detection technology, which suppresses the clutter by using the correlation between the features derived from echo and the target, and provides more suitable inputs to detectors. Based on the idea of track before detection, this paper reviews the recent progress of feature-aided tracking, focusing on echo feature-aided pre-processing techniques. Domestic contributions in related areas such as multi-static sonar localization, tracking, echo feature extraction and information fusion are further discussed. Finally, the issues that will be further studied in this field are pointed out, including the prototype system for obtaining test data, the suitable signal and information processing technology, and the enhancement of automatic fusion and tracking ability.

     

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