Radio Frequency Interference Mitigation in High-Frequency Surface Wave Radar Based on CEMD

Radio frequency interference (RFI) is a common interference source in high-frequency surface wave (HFSW) radar. Its existence degrades the performance of HFSW radar greatly and makes it necessary to find an effective method to mitigate the interferences. There are two kinds of RFI in the experimenta...

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Bibliographic Details
Published in:IEEE geoscience and remote sensing letters 2017-05, Vol.14 (5), p.764-768
Main Authors: Chen, Zezong, Xie, Fei, Zhao, Chen, He, Chao
Format: Article
Language:English
Subjects:
Algorithms
Antenna arrays
Beamforming
Complex empirical mode decomposition (CEMD)
Experimental data
high-frequency surface wave (HFSW) radar
Information processing
Interference
Mathematical models
Methods
Mitigation
nontransient radio frequency interference (RFI)
Performance degradation
Radar
Radar antennas
Radar clutter
Radar echoes
Radio
Radio frequency
Radio frequency interference
Sea surface
Signal to noise ratio
Surface water waves
Surface waves
Transient analysis
transient RFI
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Summary:Radio frequency interference (RFI) is a common interference source in high-frequency surface wave (HFSW) radar. Its existence degrades the performance of HFSW radar greatly and makes it necessary to find an effective method to mitigate the interferences. There are two kinds of RFI in the experimental data. One is transient RFI, which is usually suppressed by temporal processing. The other is nontransient RFI, which is suppressed by adaptive beamforming methods. However, the temporal processing techniques suffer performance loss in nontransient cases, whereas the adaptive beamforming methods need spatially structuring, which is difficult to meet within the coherent integration time (CIT) of a few minutes. The fact that the experimental data are usually interfered by two kinds of RFI over a CIT motivates us to find a unified method for interference mitigation. In this letter, a new method based on complex empirical mode decomposition (CEMD) is proposed. CEMD is a local decomposition algorithm that can decompose the echoes and the RFI including transient and nontransient RFI into different intrinsic mode functions (IMFs). Then, the IMFs that correspond to RFI are processed. Experimental results indicate that the proposed method can effectively mitigate both kinds of RFI, and improve the signal-to-noise ratio without losing echoes.
ISSN:1545-598X
1558-0571
DOI:10.1109/LGRS.2017.2679124