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Citation:
　Yifei Zou,Xiukun Li,Ge Yu.Adaptive WVD Cross-Term Removal Method Based on Multidimensional Property Differences[J].Journal of Marine Science and Application,2025,(4):774-788.[doi:10.1007/s11804-024-00469-4]
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Adaptive WVD Cross-Term Removal Method Based on Multidimensional Property Differences

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Title:
Adaptive WVD Cross-Term Removal Method Based on Multidimensional Property Differences
Author(s):
Yifei Zou1; 2; 3;  Xiukun Li1; 2; 3;  Ge Yu1; 2; 3
Affilations:
Author(s):
Yifei Zou1; 2; 3;  Xiukun Li1; 2; 3;  Ge Yu1; 2; 3
1. National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China;
2. Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University), Ministry of Industry and Information Technology, Harbin 150001, China;
3. College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China
Keywords:
Cross-term removal; Multidimensional property; Approximate entropy; Rényi entropy; Seeded region growing
分类号:
-
DOI:
10.1007/s11804-024-00469-4
Abstract:
Wigner–Ville distribution (WVD) is widely used in the field of signal processing due to its excellent time–frequency (TF) concentration. However, WVD is severely limited by the cross-term when working with multicomponent signals. In this paper, we analyze the property differences between auto-term and cross-term in the one-dimensional sequence and the two-dimensional plane and approximate entropy and Rényi entropy are employed to describe them, respectively. Based on this information, we propose a new method to achieve adaptive cross-term removal by combining seeded region growing. Compared to other methods, the new method can achieve cross-term removal without decreasing the TF concentration of the auto-term. Simulation and experimental data processing results show that the method is adaptive and is not constrained by the type or distribution of signals. And it performs well in low signal-to-noise ratio environments.

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Memo

Memo:
Received date:2024-6-17;Accepted date:2024-8-13。<br>Foundation item:Supported by the National Natural Science Foundation of China (62201171).<br>Corresponding author:Ge Yu,E-mail:yuge221@hrbeu.edu.cn
Last Update: 2025-08-27