双谱分析的辐射噪声线谱源深度辨识方法

宋楠楠; 王晓燕; 梅贝宁; 安良

doi:10.11990/jheu.202506003

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双谱分析的辐射噪声线谱源深度辨识方法

论文 | 更新时间：2026-03-31

- 双谱分析的辐射噪声线谱源深度辨识方法
- Bispectral analytical method for depth identification of radiated line spectrum sources
- 哈尔滨工程大学学报 2025年46卷第8期页码：1609-1617
- 作者机构：
  
  1.东南大学信息科学与工程学院，江苏南京 211189
  2.东南大学水声信号处理教育部重点实验室，江苏南京 211189
- 作者简介：
  
  [ "宋楠楠，女，博士研究生" ]
  [ "王晓燕，女，副教授，硕士生导师" ]
  [ "安良，男，教授，博士生导师" ]
- 基金信息：
  
  国家自然科学基金项目(91938203);中央高校基本科研业务费项目(2242024K30004)
- DOI：10.11990/jheu.202506003
  中图分类号： O427.3
- 收稿：2025-06-04，
  
  网络首发：2025-06-23，
  
  纸质出版：2025-08-05
- 稿件说明：
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宋楠楠, 王晓燕, 梅贝宁, 等. 双谱分析的辐射噪声线谱源深度辨识方法[J]. 哈尔滨工程大学学报, 2025,46(8):1609-1617.

Nannan SONG, Xiaoyan WANG, Beining MEI, et al. Bispectral analytical method for depth identification of radiated line spectrum sources[J]. Journal of Harbin Engineering University, 2025, 46(8): 1609-1617.
宋楠楠, 王晓燕, 梅贝宁, 等. 双谱分析的辐射噪声线谱源深度辨识方法[J]. 哈尔滨工程大学学报, 2025,46(8):1609-1617. DOI： 10.11990/jheu.202506003.

Nannan SONG, Xiaoyan WANG, Beining MEI, et al. Bispectral analytical method for depth identification of radiated line spectrum sources[J]. Journal of Harbin Engineering University, 2025, 46(8): 1609-1617. DOI： 10.11990/jheu.202506003.

摘要

针对基于功率谱线谱幅度起伏的水面/水下目标辨识方法在低信噪比条件下性能下降问题，本文利用高阶谱抑制高斯噪声的特性，提出了一种基于辐射噪声高阶谱线谱起伏特性的声源深度辨识方法。采用频谱分析法，在理论上证明了双谱分析对声源深度差异导致的线谱起伏特性差异的敏感性，建立了双谱线谱起伏指数模型，并用于辐射噪声线谱源的深度辨识。研究表明：相较于功率谱分析方法，本文提出的双谱线谱起伏指数将水面和水下声源线谱的差异性区间拓宽约5.7倍，提高了利用辐射噪声线谱起伏特性进行声源深度辨识的稳健性，对水声目标的特征提取与识别具有重要意义。

Abstract

To address the performance limitations of surface/underwater target identification methods based on power spectrum line amplitude fluctuations under low signal-to-noise ratio conditions

a source depth identification approach that exploits the fluctuation characteristics of radiated noise line spectra in the higher-order spectral domain is proposed herein. This method leverages the noise suppression capability of higher-order spectra. Using spectral analysis

the sensitivity of bispectral analysis to differences in the fluctuation of line spectra induced by variations in the source depth was theoretically analyzed. On this basis

a bispectral line spectrum fluctuation index model was established and used for depth identification using radiated line spectrum sources. Compared with power spectral analysis

the proposed bispectral fluctuation index expands the discriminative interval between surface and underwater sources by approximately 5.7 times

as indicated by simulation and analysis of the sea trial data

thereby enhancing the robustness of source depth identification using line spectrum fluctuation and providing significant value for the feature extraction and identification of underwater acoustic targets.

关键词

Keywords

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