基于轴频电场线谱特征的目标检测及识别

doi:10.3969/j.issn.1000-1093.2020.06.013

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

基于轴频电场线谱特征的目标检测及识别

赵文春¹，姜润翔¹, 喻鹏²，张伽伟²

（1.海军工程大学电气工程学院，湖北武汉 430033； 2.海军工程大学兵器工程学院，湖北武汉 430033）

收稿日期:2019-07-02 修回日期:2019-07-02 上线日期:2020-08-07
通讯作者: 姜润翔（1982—），男，讲师，博士 E-mail:jiang_runxiang@163.com
作者简介:赵文春（1973—），男，副教授，博士。E-mail: zhaowenchun@126.com
基金资助:
国家自然科学基金面上项目（41476154）

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

ZHAO Wenchun¹， JIANG Runxiang¹， YU Peng²， ZHANG Jiawei²

(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

摘要/Abstract

摘要： 为有效地从海洋环境电场信号中检测出舰船轴频电场信号，在对大量实测数据分析的基础上，提出一种基于轴频电场线谱特征的目标检测与识别方法。对接收信号进行傅里叶变换计算频谱图，并对其进行归一化处理以提高其动态范围；采用浮动门限与固定门限相结合的方法对疑似线谱信号进行检测；采用积分累计的方法对疑似线谱特征进行目标确认，并利用长时间积分特征均值实现对目标信号的识别；通过海上实测数据对方法的有效性进行检验。结果表明，该方法能够有效检测到目标信号，并可实现对目标信号的识别分类。

关键词: 舰船, 轴频电场, 傅里叶变换, 线谱特征, 积分累计

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

中图分类号:

TJ610.2

赵文春，姜润翔, 喻鹏，张伽伟. 基于轴频电场线谱特征的目标检测及识别[J]. 兵工学报, 2020, 41(6): 1165-1171.

ZHAO Wenchun， JIANG Runxiang， YU Peng， ZHANG Jiawei. Detection and Identification of Ship Shaft-rate Electric Field Based on Line-spectrum Characteristics[J]. Acta Armamentarii, 2020, 41(6): 1165-1171.

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基于轴频电场线谱特征的目标检测及识别

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

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