Identification of objects using their natural resonant complex frequencies under low signal‐to‐noise ratio conditions
Year: 2025
Type: article
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.
Source: Electronics Letters
DOI: 10.1049/ell2.70152
Authors: Yonggang Li, Haoyi Zhang, Yongjing Zhou, Weigang Zhu, Suqin Wu
Institution: Space Engineering University
Language: English
Topic: Music and Audio Processing
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,590
OpenAlex ID: W4412642446