Research on the Motion Features Model for Underwater Targets with Multiple Highlights and Multiple Micro-Motion Forms

• Autorzy: Sun Tongjing , Zhou Zihan , Peng Dongliang

Identyfikatory

DOI

10.24425/aoa.2024.148778

• Języki publikacji: EN

Abstrakty

EN

Motion characterization, including Doppler and micro-Doppler, is crucial for the detection and identification of high-speed underwater targets. Under high-frequency and short-range conditions, underwater targets cannot be simply regarded as single highlight targets as they exhibit a complex structure with multiple scattering centers accompanied by distinct micro-motions. To address this multi-highlight and multi-micro-motion scenario, a model is proposed to characterize the motion features of underwater targets. Firstly, a mathematical model is established to represent the micro-Doppler features based on the single-highlight model. Subsequently, considering the overlap of multiple highlight echoes caused by the high-speed translation of the target and the long pulse detection signal, precise representation is achieved by setting motion positions and calculating time delays within the model. The results represent the echoes of moving targets with multiple highlights and micromotions. Finally, a time-frequency analysis method is employed to extract motion features and estimate target parameters, thereby validating the accuracy and effectiveness of the proposed model. This research provides a theoretical foundation for the modeling of underwater moving targets.

Słowa kluczowe

EN

micro-motion; complex motion; micro-Doppler; underwater micro-motion model; multi-highlight model

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2024
• Tom: Vol. 49, nr 2
• Strony: 199--208
• Opis fizyczny: Bibliogr. 25 poz., rys., tab., wykr.

Twórcy

autor

Sun Tongjing

• Department of Automation Hangzhou Dianzi University, Xiasha Higher Education Zone Hangzhou, China

autor

Zhou Zihan

• Department of Automation Hangzhou Dianzi University, Xiasha Higher Education Zone Hangzhou, China

autor

Peng Dongliang

• Department of Automation Hangzhou Dianzi University, Xiasha Higher Education Zone Hangzhou, China

Bibliografia

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