期刊文献+

基于两级自适应线谱增强器的舰船辐射噪声线谱检测 被引量:4

Detection of ship radiated noise line spectra based on two-level adaptive line enhancement
下载PDF
导出
摘要 舰船辐射噪声中的线谱成分能表征舰船的本质特征,是舰船目标识别中的主要特征矢量。因此,舰船辐射噪声线谱的准确检测在目标识别中具有十分重要的意义。针对海洋环境噪声中舰船辐射噪声线谱检测问题,提出了两级自适应线谱增强器(adaptive line enhancement,ALE)检测方法。该方法在原一级ALE检测方法的基础上,将原信号延时信号与一级ALE误差信号相减后作为第2级ALE的输入再进行1次ALE。该方法较一级ALE在输入信号信噪比较低时能准确地将线谱从宽带背景噪声中分离出来。仿真和实验结果表明该方法的有效性和准确性。 Line main feature vector in spectra in ship radiated noise can represent the essential feature of ship, which was ship target recognition. So detecting ship radiated noise line spectra accurately was significance in target recognition. A method based on two-lever adaptive line enhancement was proposed for detection of ship radiated noise line spectra under sea environment noise in the paper. The method was established on one-level ALE. The difference between delay of input signal and error signal of the first ALE was acted as input of the second ALE. The method can separate the ship radiated noise line spectra from the broad band background noise under low SNR of input signal. While one-lever ALE cannot. The results from emulation and test validate that the proposed method was effective and accurate.
出处 《舰船科学技术》 北大核心 2012年第8期79-82,共4页 Ship Science and Technology
关键词 自适应线谱增强器 两级自适应线谱增强 舰船辐射噪声 线谱 adaptive line enhancement(ALE) two-level ALE ship radiated noise line spectra
  • 相关文献

参考文献7

二级参考文献27

  • 1康春玉,章新华.基于LPC谱和支持向量机的船舶辐射噪声识别[J].计算机工程与应用,2007,43(12):215-217. 被引量:2
  • 2张绪省,朱贻盛,成晓雄,程煜明.信号包络提取方法——从希尔伯特变换到小波变换[J].电子科学学刊,1997,19(1):120-123. 被引量:50
  • 3Julie E. Greenberg. Modified LMS Algorithms for Speech Processing with an Adaptive Noise Canceller [J]. IEEE Transactions on Speech and Audio Processing (S1063-6676), 1998, 6(4): 338-350.
  • 4Keisuke Sumi, Naoto Sasaoka, Yoshio Itoh, et al. Noise Reduction Method for Sinusoidal and Wideband Noise Based on ALE and Noise Reconstruction Filter [C]// International Symposium on Communications and Information Technologies 2004, ISCIT2004 (S0-7803-8593-4). Sapporo, Japan: IEEE-Verlag, 2004: 567-570.
  • 5Kang C Y, Zhang X H, Zhang A Q, et al. Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks [C]// Advances in Neural Networks, ISNN2004 (S0302- 9743). Germany: Springer, 2004: 930-935.
  • 6陈荣,徐用懋,兰鸿森.多层前向网络的研究——遗传BP算法和结构优化策略[J].自动化学报,1997,23(1):43-49. 被引量:51
  • 7何振亚.自适应信号处理[M].北京:科学出版社,2003.
  • 8吴国清.“背景噪声中监测舰船辐射噪声的周期调制的性能估算”[J].声学学报,1982,4.
  • 9徐继渝等.“舰船噪声包络分析及用于目标分类的参数选定”.《第六届船舶水下噪声学术讨论会论文集》.1995.
  • 10肖国有,屠庆平.《声信号处理及其应用》.西北工业大学出版社.

共引文献39

同被引文献68

引证文献4

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部