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基于非负矩阵分解的双曲调频信号目标回波增强

崔小斌 李淑秋 李宇 李子高 孙飞虎 迟骋 金盛龙 王冠群

哈尔滨工程大学学报2024,Vol.45Issue(7):1273-1279,7.
哈尔滨工程大学学报2024,Vol.45Issue(7):1273-1279,7.DOI:10.11990/jheu.202204044

基于非负矩阵分解的双曲调频信号目标回波增强

Target echo enhancement of HFM signals based on non-negative matrix factorization

崔小斌 1李淑秋 1李宇 1李子高 2孙飞虎 2迟骋 1金盛龙 2王冠群2

作者信息

  • 1. 中国科学院 声学研究所,北京 100190||中国科学院 先进水下信息技术重点实验室,北京 100190||中国科学院大学,北京 100049
  • 2. 中国科学院 声学研究所,北京 100190||中国科学院 先进水下信息技术重点实验室,北京 100190
  • 折叠

摘要

Abstract

Hyperbolic frequency modulation(HFM)signals are Doppler-insensitive signals commonly used in active sonar.In practice,target echoes are often weak owing to channel variations and reverberation effects.To address the issue of detection performance degradation in active sonar for underwater vehicles,this paper proposes a target echo enhancement method for HFM signals based on non-negative matrix factorization.This method separately de-fines base matrices for target echo and interference signals.It uses the time-frequency diagram of transmit signals as the frequency information matrix for the target echo and imposes constraints on the time information matrix of the target echo.The enhancement in the target echo is achieved through iterative processing,resulting in a matching echo detection with higher gain.Numerical simulations and sea test results show that the method improves the peak-to-average ratio by more than 2 dB compared with traditional matched filtering methods,thereby enhancing echo de-tection outcomes.

关键词

主动声呐/水下探测/混响/噪声/非负矩阵分解/双曲调频信号/回波增强/目标检测

Key words

active sonar/underwater detection/reverberation/noise/non-negative matrix factorization/hyperbolic frequency modulation(HFM)signal/echo enhancement/target detection

分类

数理科学

引用本文复制引用

崔小斌,李淑秋,李宇,李子高,孙飞虎,迟骋,金盛龙,王冠群..基于非负矩阵分解的双曲调频信号目标回波增强[J].哈尔滨工程大学学报,2024,45(7):1273-1279,7.

基金项目

国家自然科学基金项目(11904386). (11904386)

哈尔滨工程大学学报

OA北大核心CSTPCD

1006-7043

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