首页|基于非负矩阵分解的双曲调频信号目标回波增强

基于非负矩阵分解的双曲调频信号目标回波增强

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双曲调频信号是主动声呐中常用的多普勒不敏感信号。在实际使用中,由于信道变化和混响影响,目标回波较弱。针对水下航行器主动声呐探测性能下降问题,本文提出基于非负矩阵分解的双曲调频信号目标回波增强方法。该方法对目标回波和干扰信号的基矩阵分别定义,将发射信号的时频图作为目标回波的频率信息矩阵,对目标回波的时间信息矩阵做出约束,迭代处理完成目标回波的增强,获得较高增益的匹配回波检测结果。数值仿真和海上试验结果表明:本文方法与传统匹配滤波方法相比,其峰均比值提高了 2dB以上,提高了回波检测结果。
Target echo enhancement of HFM signals based on non-negative matrix factorization
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.

active sonarunderwater detectionreverberationnoisenon-negative matrix factorizationhyperbolic frequency modulation(HFM)signalecho enhancementtarget detection

崔小斌、李淑秋、李宇、李子高、孙飞虎、迟骋、金盛龙、王冠群

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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

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

国家自然科学基金项目

11904386

2024

哈尔滨工程大学学报
哈尔滨工程大学

哈尔滨工程大学学报

CSTPCD北大核心
影响因子:0.655
ISSN:1006-7043
年,卷(期):2024.45(7)