Multipath Suppression and High-precision Angle Measurement Method Based on Feature Game Preprocessing

XIANG Houhong; WANG Yongliang; LI Yuxi; CHEN Yufeng; WANG Fengyu; ZENG Xiaolu

doi:10.12000/JR24215

Volume 14 Issue 2

Apr. 2025

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Article Navigation > Journal of Radars > 2025 > 14(2): 269-279

WANG Xuesong and CHEN Siwei. Polarimetric synthetic aperture radar interpretation and recognition: Advances and perspectives[J]. Journal of Radars, 2020, 9(2): 259–276. doi: 10.12000/JR19109

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XIANG Houhong, WANG Yongliang, LI Yuxi, et al. Multipath suppression and high-precision angle measurement method based on feature game preprocessing[J]. Journal of Radars, 2025, 14(2): 269–279. doi: 10.12000/JR24215

WANG Xuesong and CHEN Siwei. Polarimetric synthetic aperture radar interpretation and recognition: Advances and perspectives[J]. Journal of Radars, 2020, 9(2): 259–276. doi: 10.12000/JR19109

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Multipath Suppression and High-precision Angle Measurement Method Based on Feature Game Preprocessing

DOI: 10.12000/JR24215 CSTR: 32380.14.JR24215

1.
School of Computer and Information, Hefei University of Technology, Hefei 230009, China
2.
Air Force Early Warning Academy, Wuhan 430019, China
3.
Hangzhou Institute of Technology, Xidian University, Hangzhou 311200, China
4.
School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China
5.
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

Funds: The National Natural Science Foundation of China (62201189), Key Fundamental Research Program of Anhui Province (2023z04020018), The Open Fund for the Hangzhou Institute of Technology Academician Workstation at Xidian University (XH-KY-202306-0285), The Fundamental Research Funds for the Central University (JZ2024HGTB0228)

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Corresponding author: XIANG Houhong, hhxiang@hfut.edu.cn; WANG Yongliang, ylwangkjld@163.com
Received Date: 2024-10-27
Rev Recd Date: 2024-12-31

Available Online: 2025-01-04

Publish Date: 2025-01-20

Abstract

Abstract

The meter-wave radar, known for its wide beamwidth, often faces challenges in detecting low-elevation targets due to interference from multipath signals. These reflected signals diminish the strength of the direct signal, leading to poor accuracy in low-elevation angle measurements. To solve this problem, this paper proposes a multipath suppression and high-precision angle measurement method. This method, based on a signal-level feature game approach, incorporates two interconnected components working together. The direct signal extractor mines the direct signal submerged within the multipath signal. The direct signal feature discriminator ensures the integrity and validity of the extracted direct signal. By continuously interacting and optimizing one another, these components suppress the multipath interference effectively and enhance the quality of the direct signal. The refined signal is then processed using advanced super-resolution algorithms to estimate the Direction of Arrival (DoA). Computer simulations have shown that the proposed algorithm achieves high performance without relying on strict target angle information, effectively suppressing multipath signals. This approach noticeably enhances the estimation accuracy of classic super-resolution algorithms. Compared to existing supervised learning models, the proposed algorithm offers better generalization to unknown signal parameters and multipath distribution models.
- Meter-wave radar,
- Multipath signal,
- Direct signal extraction,
- Direct signal feature identification,
- Angle measurement

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References(21)

References

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