Detection and Identification of Ship Shaft-rate Electric Field Based on Line-spectrum Characteristics

ZHAO Wenchun;JIANG Runxiang;YU Peng;ZHANG Jiawei

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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 ›› 2020, Vol. 41 ›› Issue (6) : 1165-1171. DOI: 10.3969/j.issn.1000-1093.2020.06.013
Paper

Detection and Identification of Ship Shaft-rate Electric Field Based on Line-spectrum Characteristics

  • ZHAO Wenchun1， JIANG Runxiang1， YU Peng2， ZHANG Jiawei2
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Abstract

A detection and recognition method based on the line-spectrum characteristics of shaft-rate electric field is proposed to detect the ship's shaft-rate electric field signal in ocean environment by analyzing a large number of measured data. In the proposed method, the received signal is processed by Fourier transform, and then normalized to improve its dynamic range; the dynamic and fixed thresholds are combined to detect the suspected line spectrum signal; the integral accumulation method is applied to confirm the suspected line spectrum features; and the target signal is identified by utilizing the mean characteristic of long-time integral. The validity of the proposed method is examined by the measured data in several sea trails. The results show that the proposed method can be used to detect the target effectively, and is able to recognize and classify various target signals. Key

Key words

ship / shaft-rateelectricfield / Fouriertransform / line-spectrumcharacteristic / integralaccumulation

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ZHAO Wenchun， JIANG Runxiang， YU Peng， ZHANG Jiawei. Detection and Identification of Ship Shaft-rate Electric Field Based on Line-spectrum Characteristics. Acta Armamentarii. 2020, 41(6): 1165-1171 https://doi.org/10.3969/j.issn.1000-1093.2020.06.013

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第41卷第6期2020年6月
兵工学报ACTA ARMAMENTARII
Vol.41No.6Jun.2020

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