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

doi:10.3969/j.issn.1000-1093.2021.04.016

Abstract

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

CLC Number:

TJ610.2

YU Peng， CHENG Jinfang， ZHANG Jiawei， JIANG Runxiang. Ship Shaft-rate Electric Field Sliding Threshold Detection Method Based on Rao Detector[J]. Acta Armamentarii, 2021, 42(4): 827-834.

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