文章摘要
聂东虎,张汝波,李雪耀.新的联合三角形法和经验模态分解的水下目标回波检测[J].声学技术,2011,(2):133~139
新的联合三角形法和经验模态分解的水下目标回波检测
Detection of underwater target echo with triangle method associated with empirical mode decomposition
投稿时间:2010-03-01  修订日期:2010-07-15
DOI:
中文关键词: 水下目标回波检测  经验模态分解  固有模态函数  三角形法  双阈值
英文关键词: underwater target detection  empirical mode decomposition  intrinsic mode function(IMF)  triangle method  double thresholds
基金项目:国防科技重点实验室基金资助(00JS22.6.1CB0106);国家自然科学基金资助(60475016);国家自然科学基金(60603092);中央高校基本科研业务费专项资金资助(HEUCF100604)
作者单位E-mail
聂东虎 哈尔滨工程大学计算机科学与技术学院, 哈尔滨, 150001 niedonghu@hrbeu.edu.cn 
张汝波 哈尔滨工程大学计算机科学与技术学院, 哈尔滨, 150001  
李雪耀 哈尔滨工程大学计算机科学与技术学院, 哈尔滨, 150001  
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中文摘要:
      水下目标回波信号的自动检测和识别是水声装备自动化的关键任务之一。大量的混响干扰,一个脉冲周期内有多个目标或没有目标,以及目标边界的模糊性和位置的随机性,是目标检测的难点。对回波信号进行经验模态分解,目标信号的绝大部分信息将集中在某个固有模态函数上,且产生明显的边界,而各种噪声和干扰成分被分解到其他固有模态函数上。基于此,提出在固有模态函数包络上用三角形法定位目标及双阈值检测精确的目标边界的算法;提出目标回波的固有模态函数瞬时幅度方差谱特征。海上实测回波数据的实验,从检测目标个数和识别率两方面来验证算法的性能,并与其它方法进行对比。实验表明该算法能任意定位和准确检测回波中的目标,且不受脉冲噪声的影响,检测效率高。
英文摘要:
      It is one of crucial tasks in underwater acoustic equipment development to detect and recognize underwater target echo automatically.Difficulty of detection of target echo lies in much reverberation,no target or more than one target existing in an impulse period,illegibility of targets' edges and randomicity of targets' location.Most of information about target signal is concentrated in intrinsic mode function on some scale after empirical mode decomposition being done for target echo.It will produce obvious edge of target.Various noise and interferential factors are decomposed into intrinsic mode function on others scale.An algorithm,in which the method called triangle locating is used to identify targets' locations and the method of double thresholds is used to detect endpoints of targets on envelope of intrinsic mode function,is proposed to detect target echo.A feature extraction algorithm called intrinsic mode function transient amplitude variance spectrum is proposed.Experiments have been done based on a large amount of data measured on the sea to validate performances of the detection algorithm in two sides of the detected number of targets and the recognition rate.The comparison has also been made with other algorithms in the two sides.It is shown that the algorithm can identify locations of targets and correctly detect targets in echo with high efficiency,and is not affected by impulse noise.
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