{"title":"Identification of objects using their natural resonant complex frequencies under low signal-to-noise ratio conditions","authors":"Yonggang Li, Haoyi Zhang, Yongjing Zhou, Weigang Zhu, Suqin Wu","doi":"10.1049/ell2.70152","DOIUrl":null,"url":null,"abstract":"<p>Here, a target recognition method of natural resonant complex frequency under low Signal-to-Noise Ratio (SNR) is proposed, mainly to solve the problem that natural resonant frequency is greatly affected by noise while the recognition accuracy is low. This method designs a recognition approach for natural resonant complex frequency by studying the characteristics of natural resonant complex frequency and integrating high-order spectrum analysis. Through theoretical analysis of the feasibility of natural resonant complex frequency bispectral transformation, the introduction of the natural resonance decay factor into target recognition is pioneered, providing a novel processing approach for identifying natural resonant complex frequencies.</p>","PeriodicalId":11556,"journal":{"name":"Electronics Letters","volume":"61 1","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/ell2.70152","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Electronics Letters","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1049/ell2.70152","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Here, a target recognition method of natural resonant complex frequency under low Signal-to-Noise Ratio (SNR) is proposed, mainly to solve the problem that natural resonant frequency is greatly affected by noise while the recognition accuracy is low. This method designs a recognition approach for natural resonant complex frequency by studying the characteristics of natural resonant complex frequency and integrating high-order spectrum analysis. Through theoretical analysis of the feasibility of natural resonant complex frequency bispectral transformation, the introduction of the natural resonance decay factor into target recognition is pioneered, providing a novel processing approach for identifying natural resonant complex frequencies.
期刊介绍：
Electronics Letters is an internationally renowned peer-reviewed rapid-communication journal that publishes short original research papers every two weeks. Its broad and interdisciplinary scope covers the latest developments in all electronic engineering related fields including communication, biomedical, optical and device technologies. Electronics Letters also provides further insight into some of the latest developments through special features and interviews.
Scope
As a journal at the forefront of its field, Electronics Letters publishes papers covering all themes of electronic and electrical engineering. The major themes of the journal are listed below.
Antennas and Propagation
Biomedical and Bioinspired Technologies, Signal Processing and Applications
Control Engineering
Electromagnetism: Theory, Materials and Devices
Electronic Circuits and Systems
Image, Video and Vision Processing and Applications
Information, Computing and Communications
Instrumentation and Measurement
Microwave Technology
Optical Communications
Photonics and Opto-Electronics
Power Electronics, Energy and Sustainability
Radar, Sonar and Navigation
Semiconductor Technology
Signal Processing
MIMO
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