Identification of objects using their natural resonant complex frequencies under low signal‐to‐noise ratio conditions
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.
Authors
- Suqin Wu (ORCID: https://orcid.org/0000-0002-0994-402X)
- Haoyi Zhang (ORCID: https://orcid.org/0009-0009-3693-786X)
- Yonggang Li (ORCID: https://orcid.org/0000-0001-6924-0254)
- Yongjing Zhou (ORCID: https://orcid.org/0000-0003-2452-5031)
- Weigang Zhu (ORCID: https://orcid.org/0000-0002-4326-6779)
Institutions
- Space Engineering University (CN)
Publication Details
- Journal
- Electronics Letters
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/ell2.70152
- Primary Topic
- Antenna Design and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00