Ship Shaft-rate Electric Field Sliding Threshold Detection Method Based on Rao Detector

YU Peng;CHENG Jinfang;ZHANG Jiawei;JIANG Runxiang

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  • Sponsored by: China Association for Science and Technology (CAST)

    Editor-In-Chief: Xu Yida

    ISSN 1000-1093

    　

  • Hosted By: China Ordnance Society

    Published By: Acta Armamentarii

    CN 11-2176/TJ

Acta Armamentarii, a Chinese monthly journal, was first published in 1979. The journal is supervised by China Association for Science and Technology, sponsored by China Ordnance Society，and edited and published by Editorial Board of Acta Armamentarii. The Journal is included in all important domestic databases，and also collected by Engineering Index (EI, USA), Chemical Abstracts (CA, USA), Science Abstracts (SA, UK）, Abstract Journal (AJ, Russia), and Current Bibliography on Science and Technology(CBST).Acta Armamentarii has been selected into the journal Of Ordnance Science and Technology (Weapons Industry) Field Of High Quality Scientific and Technological Periodical Classification Catalogue (2022 edition), ranking T1, and the journal of Automotive Engineering Field of High Quality Scientific and technological Periodical classification Catalogue, ranking T2.
Acta Armamentarii ›› 2021, Vol. 42 ›› Issue (4) : 827-834. DOI: 10.3969/j.issn.1000-1093.2021.04.016
Paper

Ship Shaft-rate Electric Field Sliding Threshold Detection Method Based on Rao Detector

  • YU Peng1， CHENG Jinfang1， ZHANG Jiawei1， JIANG Runxiang2
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Abstract

A sliding threshold detection method based on Rao detector is proposed to detect the ship's shaft-rate electric field at a low SNR in non-Gaussian noise environment. A signal model is established based on the characteristics of signal source, and a noise model is established based on Gaussian mixture model (GMM) after analyzing its non-Gaussian characteristics measured by a floating platform. In the detection process, the parameters of GMM and the Rao detection value are computed in real time; the mean value of previous Rao detection values is regarded as the sliding threshold. The simulation method is first used to verify the proposed method. The results show that the detection performance of Rao detector is better than that of energy detector. Then the measured ship data is used to compare the Rao sliding threshold method and the sliding power spectrum method. The results show that the proposed method is better in decreasing the non-Gaussian environment noise and has a better detection performance than the sliding power spectrum method.

Key words

ship / shaft-rateelectricfield / Raodetector / non-Gaussiannoise / slidingthreshold

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YU Peng， CHENG Jinfang， ZHANG Jiawei， JIANG Runxiang. Ship Shaft-rate Electric Field Sliding Threshold Detection Method Based on Rao Detector. Acta Armamentarii. 2021, 42(4): 827-834 https://doi.org/10.3969/j.issn.1000-1093.2021.04.016

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