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水下目标的微多普勒效应与稀疏表示分析

Micro-Doppler Effect and Sparse Representation Analysis of Underwater Targets.

作者信息

Lu Yan, Kou Siwei, Wang Xiaopeng

机构信息

School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.

出版信息

Sensors (Basel). 2023 Sep 25;23(19):8066. doi: 10.3390/s23198066.

DOI:10.3390/s23198066
PMID:37836896
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10575204/
Abstract

At present, the micro-Doppler effects of underwater targets is a challenging new research problem. This paper studies the micro-Doppler effect of underwater targets, analyzes the moving characteristics of underwater micro-motion components, establishes echo models of harmonic vibration points and plane and rotating propellers, and reveals the complex modulation laws of the micro-Doppler effect. In addition, since an echo is a multi-component signal superposed by multiple modulated signals, this paper provides a sparse reconstruction method combined with time-frequency distributions and realizes signal separation and time-frequency analysis. A MicroDopplerlet time-frequency atomic dictionary, matching the complex modulated form of echoes, is designed, which effectively realizes the concise representation of echoes and a micro-Doppler effect analysis. Meanwhile, the needed micro-motion parameter information for underwater signal detection and recognition is extracted.

摘要

目前，水下目标的微多普勒效应是一个具有挑战性的新研究问题。本文研究水下目标的微多普勒效应，分析水下微动部件的运动特性，建立谐波振动点、平面和旋转螺旋桨的回波模型，揭示微多普勒效应的复杂调制规律。此外，由于回波是由多个调制信号叠加而成的多分量信号，本文提出了一种结合时频分布的稀疏重构方法，实现了信号分离和时频分析。设计了一种与回波复杂调制形式相匹配的微多普勒时频原子字典，有效实现了回波的简洁表示和微多普勒效应分析。同时，提取了水下信号检测与识别所需的微动参数信息。

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Sparse Representation-Based Multi-Focus Image Fusion Method via Local Energy in Shearlet Domain.基于剪切波域局部能量的稀疏表示的多聚焦图像融合方法。
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A Sparse Representation Classification Scheme for the Recognition of Affective and Cognitive Brain Processes in Neuromarketing.
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Physiol Meas. 2020 Mar 6;41(2):024002. doi: 10.1088/1361-6579/ab71f2.