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一种基于色彩处理的被动声呐宽带目标检测显示方法
引用本文:张大伟,范文涛,许林周,章新华. 一种基于色彩处理的被动声呐宽带目标检测显示方法[J]. 声学技术, 2021, 40(4): 556-559
作者姓名:张大伟  范文涛  许林周  章新华
作者单位:海军大连舰艇学院, 辽宁大连 116018;海军研究院, 北京 100073
摘    要:针对被动声呐传统宽带能量检测方式难以解决强干扰存在时的弱目标检测问题,着眼于目标、干扰及背景噪声频谱特征差异,提出了一种划分子带,利用颜色合成理论进行宽带融合检测的显示方法。针对弱目标存在稳定线谱或在部分频点能量相对较强的情况,可有效提升对弱目标的检测能力,并增强不同目标方位历程的区分度。

关 键 词:色彩处理  频谱特征  弱目标检测
收稿时间:2021-04-03
修稿时间:2021-05-01

A method of detecting and displaying passive sonar broadband target based on color processing
ZHANG Dawei,FAN Wentao,XU Linzhou,ZHANG Xinhua. A method of detecting and displaying passive sonar broadband target based on color processing[J]. Technical Acoustics, 2021, 40(4): 556-559
Authors:ZHANG Dawei  FAN Wentao  XU Linzhou  ZHANG Xinhua
Affiliation:Dalian Naval Academy, Dalian 116018, Liaoning, China;Naval Research Academy, Beijing 100073, China
Abstract:It is difficult for passive sonar using traditional broadband energy detection method to detect the weak target in the presence of strong interferences. Based on different spectrum characteristics of target, interference and background noise, a new method by dividing sub-band of spectrum and using color synthesis theory is proposed to achieve broadband fusion detection. When the radiated noise of weak target contains stable line spectrums or its spectrum energy at some frequency points is relatively strong, the ability to detect weak target can be effectively improved by this method, and the bearing-time-records of different targets can be easier distinguished.
Keywords:color processing  spectrum feature  detection of weak target
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