Radio Frequency Interference Suppression for HF Surface Wave Radar Using CEMD and Temporal Windowing Methods

A common source of interference in high-frequency (HF) surface wave (HFSW) radars is radio frequency interference (RFI). Its existence inhibits the detection performance of HFSW radars since its amplitude can mask the sea echoes. On the basis of the analysis of RFI characteristics, a new RFI mitigation algorithm based on inverse temporal windowing and complex empirical mode decomposition (CEMD) is proposed in this letter. In this method, echoes containing RFI are decomposed into a number of intrinsic mode functions (IMFs) via CEMD and then the inverse temporal windowing technique is applied to each IMFs in the time domain. Test results show that the proposed method outperforms the conventional method in simulated and practical conditions and can effectively mitigate RFI without losing sea echoes.

[1]  D. P. Mandic,et al.  Multivariate empirical mode decomposition , 2010, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[2]  Toshihisa Tanaka,et al.  Complex Empirical Mode Decomposition , 2007, IEEE Signal Processing Letters.

[3]  Danilo P. Mandic,et al.  The complex local mean decomposition , 2011, Neurocomputing.

[4]  Fei Xie,et al.  Radio Frequency Interference Mitigation for High-Frequency Surface Wave Radar , 2018, IEEE Geoscience and Remote Sensing Letters.

[5]  Mike D. E. Turley,et al.  Impulsive noise rejection in HF radar using a linear prediction technique , 2003, 2003 Proceedings of the International Conference on Radar (IEEE Cat. No.03EX695).

[6]  Hongtao Su,et al.  Radio Frequency Interference Cancelation for Skywave Over-the-Horizon Radar , 2016, IEEE Geoscience and Remote Sensing Letters.

[7]  Xin Guo,et al.  Transient interference excision in over-the-horizon radar using adaptive time-frequency analysis , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Hao Zhou,et al.  Radio frequency interference suppression in small-aperture high-frequency radars , 2012, IEEE Geoscience and Remote Sensing Letters.

[9]  Danilo P. Mandic,et al.  Empirical Mode Decomposition for Trivariate Signals , 2010, IEEE Transactions on Signal Processing.

[10]  Lucy R. Wyatt,et al.  An overview of developments and applications of oceanographic radar networks in Asia and Oceania countries , 2013, Ocean Science Journal.

[11]  Fei Xie,et al.  Radio Frequency Interference Mitigation in High-Frequency Surface Wave Radar Based on CEMD , 2017, IEEE Geoscience and Remote Sensing Letters.

[12]  Ayaz Ghorbani,et al.  Predicting a Three-Dimensional Radar Coverage Area : Introducing a new method based on propagation of radio waves. , 2016, IEEE Antennas and Propagation Magazine.

[13]  Wei Wang,et al.  Radio frequency interference cancellation for sea-state remote sensing by high-frequency radar , 2011 .

[14]  Xianrong Wan,et al.  Computationally Efficient RF Interference Suppression Method With Closed-Form Maximum Likelihood Estimator for HF Surface Wave Over-The-Horizon Radars , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[15]  Gabriel Rilling,et al.  Bivariate Empirical Mode Decomposition , 2007, IEEE Signal Processing Letters.

[16]  Hanseok Ko,et al.  Man-Made Radio Frequency Interference Suppression for Compact HF Surface Wave Radar , 2018, IEEE Geoscience and Remote Sensing Letters.