RFI Suppression Method with Improved Eigen Subspace Decomposition for Low-Frequency Radar

Lin Chen, Xin Xie*, Youwang Chen, Yunkai Deng, Xingwang Du

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

摘要

Due to the complex electromagnetic environment in the low-frequency band, both useful signals and other radio frequency (RF) signals enter the radar receiver indiscriminately, affecting the operation of the radar. Conventional radio frequency interference (RFI) suppression methods only have a good effect on narrowband interference (NBI). Faced with the complex RF environment, they cannot effectively suppress RFI, especially wideband interference (WBI) in the form of digital terrestrial multimedia broadcast (DTMB). To solve the problem of RFI suppression in the complex electromagnetic environment, an improved eigen subspace decomposition method is proposed in this paper. First, the echo signal matrix is implemented with eigendecomposition to obtain eigenvalues with different distribution characteristics, and the ratio of adjacent eigenvalues is used to detect whether there exists NBI in echo signal. Then, the NBI is modelled and estimated. According to the distribution characteristics of different eigenvalues after NBI suppression, those eigenvalues including WBI are determined by K-means clustering. Then, the interference subspace of WBI is accurately constructed, and the WBI can be suppressed. Through the processing of simulated and measured data, it can be proved that the proposed method can effectively suppress complex RFI.

源语言英语
页(从-至)728-735
页数8
期刊IET Conference Proceedings
2023
47
DOI
出版状态已出版 - 2023
活动IET International Radar Conference 2023, IRC 2023 - Chongqing, 中国
期限: 3 12月 20235 12月 2023

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引用此

Chen, L., Xie, X., Chen, Y., Deng, Y., & Du, X. (2023). RFI Suppression Method with Improved Eigen Subspace Decomposition for Low-Frequency Radar. IET Conference Proceedings, 2023(47), 728-735. https://doi.org/10.1049/icp.2024.1177