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

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

ZHAO Wenchun1, JIANG Runxiang1, YU Peng2, ZHANG Jiawei2   

  1. (1.College of Electrical Engineering, Naval University of Engineering, Wuhan 430033, Hubei, China;2.College of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, Hubei, China)
  • Received:2019-07-02 Revised:2019-07-02 Online:2020-08-07

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

CLC Number: