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Volume 27 Issue 4
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2019  >  27(4): 398-405
LI Yue, ZHANG Jia-wei, CHENG Jin-fang. Improved Detection Algorithm of Ship’s Shaft-Frequency Electric Field Based on Signal Features[J]. Journal of Unmanned Undersea Systems, 2019, 27(4): 398-405. doi: 10.11993/j.issn.2096-3920.2019.04.006
Citation: LI Yue, ZHANG Jia-wei, CHENG Jin-fang. Improved Detection Algorithm of Ship’s Shaft-Frequency Electric Field Based on Signal Features[J]. Journal of Unmanned Undersea Systems, 2019, 27(4): 398-405. doi: 10.11993/j.issn.2096-3920.2019.04.006
shu

Improved Detection Algorithm of Ship’s Shaft-Frequency Electric Field Based on Signal Features

doi: 10.11993/j.issn.2096-3920.2019.04.006

  • College of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, China

  • Received Date: 2019-01-20
  • Rev Recd Date: 2019-03-06
  • Publish Date: 2019-08-31
    Abstract
  • To improve the detection probability of a target and reduce the rates of false alarm and missed alarm at lower signal-to-noise ratio(SNR), the shaft-frequency electric field signals of different ships are analyzed based on the measured underwater shaft-frequency electric field data. According to the features of the shaft-frequency electric field signal and the environmental electric field noise signal in time domain and frequency domain, the current detection algorithm of ship’s shaft-frequency electric field based on signal features is improved in terms of line spectrum identification and detection criteria. And the Welch method is employed to replace the original power spectrum estimation method. Thus, the improved algorithm needs less amount of calculation and is more real-time. Analysis on the simulated signals under different conditions and the measured signals of different types of ships shows that the improved algorithm realizes target detection at lower SNR, and satisfies the need to increase the probability of detection and reduce the false alarm rate. This algorithm is more suitable for water weapons with high precision, such as mine.

     

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