| Adaptive Radio Frequency Interference Mitigation for HF Surface Wave Radar |
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| 作者姓名： | WAN Xian-rong KE Heng-yu CHENG Feng |
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| 作者单位： | [1]School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （60401003） and the High-Technology Research and Development Program of China （2001AA631050） |
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| 摘 要： | The paper analyses the characteristics of radio frequency interference （RFI） in HF surface wave radar （HFSWR） which adopts the linear frequency modulated interrupted continuous wave （FMICW）. RFI will influence all the range cells including all the positive frequency and negative frequency, and the negative frequency range cells contain only the interference information. Based on the above characteristics, we introduce and analyze a new adaptive interference mitigation beamforming algorithm using the negative frequency range cells samples to estimate the interference covariance matrix. Experimental results confirm that this general and robust algorithm can achieve effective RFI suppression using the data recorded by the HFSWR, located near Zhoushan in Zhejiang China.
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| 关 键 词： | 无线电通信 频率干涉 雷达 高频波 信号接受 |
| 文章编号： | 1007-1202（2005）05-0851-04 |
| 收稿时间： | 2004-12-09 |
Adaptive radio frequency interference mitigation for HF surface wave radar |
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| WAN Xian-rong KE Heng-yu CHENG Feng.Adaptive Radio Frequency Interference Mitigation for HF Surface Wave Radar[J].Wuhan University Journal of Natural Sciences,2005,10(5):851-854. |
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| Authors: | Wan Xian-rong Ke Heng-yu Cheng Feng |
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| Institution: | (1) School of Electronic Information, Wuhan University, 430072 Wuhan, Hubei, China |
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| Abstract: | The paper analyses the characteristics of radio frequency interference (RFI) in HF surface wave radar (HFSWR) which adopts the linear frequency modulated interrupted continuous wave (FMICW). RFI will influence all the range cells including all the positive frequency and negative frequency, and the negative frequency range cells contain only the interference information. Based on the above characteristics, we introduce and analyze a new adaptive interference mitigation beamforming algorithm using the negative frequency range cells samples to estimate the interference covariance matrix. Experimental results confirm that this general and robust algorithm can achieve effective RFI suppression using the data recorded by the HFSWR, located near Zhoushan in Zhejiang China. |
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| Keywords: | HF surface wave radar array signal processing adaptive beamforming |
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