Comparative Study on Chaos Identification of Ionospheric Clutter From HFSWR

In addition to target echoes, high frequency surface wave radar (HFSWR) receives sea and ionospheric clutter. Among these clutters, the ionospheric clutter is dominant and significantly affects the detection performance of HFSWR, particularly when the targets are located 100 kilometers away from the radar, rendering it an unsolved problem for HFSWR. Existing studies concerning HFSWR ionospheric clutter lack empirical research on the nonlinear dynamical characteristics of the ionosphere of HFSWR as existing ionospheric suppression methods are still insufficient to adapt the project application. Therefore, the present study utilized the threshold segmentation method to eliminate the sea clutter in HFSWR Range-Doppler spectrum and extracted ionospheric signals from this spectrum by edge feature extraction. Subsequently, the chaotic invariants, such as correlation dimension and the largest Lyapunov exponent of HFSWR ionospheric clutter, were calculated by phase space reconstruction, whilst the chaotic dynamical characteristics of HFSWR ionospheric clutter were determined by the 0–1 test for chaos and other algorithms. Furthermore, the present study demonstrated, for the first time, the chaotic dynamics of the ionospheric clutter of HFSWR with a low-dimensional attractor by processing and analyzing the experimental data from the Weihai High Frequency Radar Station. The conclusion redefines HFSWR ionospheric clutter based on chaotic dynamics rather than regarding it as a stochastic process, which is conducive to efforts to explore the formation mechanism of ionospheric clutter in essence, which can ultimately improve the detection capability of HFSWR, particularly for long-distance targets.

[1]  H. Abarbanel,et al.  Local false nearest neighbors and dynamical dimensions from observed chaotic data. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[2]  Weimin Huang,et al.  An analytical model for HF radar ionospheric clutter , 2013, 2013 IEEE Antennas and Propagation Society International Symposium (APSURSI).

[3]  Donald E. Barrick,et al.  First-order theory and analysis of MF/HF/VHF scatter from the sea , 1972 .

[4]  A. Wolf,et al.  Determining Lyapunov exponents from a time series , 1985 .

[5]  Marc Hélier,et al.  Wavelet Contribution to Remote Sensing of the Sea and Target Detection for a High-Frequency Surface Wave Radar , 2008, IEEE Geoscience and Remote Sensing Letters.

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

[7]  Rongqing Xu,et al.  An Ionospheric Es Layer Clutter Model and Suppression in HF Surfacewave Radar , 2013 .

[8]  Xu Rongqing,et al.  Ionospheric clutter mitigation for high-frequency surface-wave radar using two-dimensional array and beam space processing , 2012 .

[9]  Hao Zhou,et al.  IONOSPHERE PROBING WITH A HIGH FREQUENCY SURFACE WAVE RADAR , 2011 .

[10]  R. Adve,et al.  Ionospheric and auroral clutter models for HF surface wave and over‐the‐horizon radar systems , 2012 .

[11]  Ning Zhang,et al.  Progress in HFSWR research at Harbin Institute of Technology , 2003, 2003 Proceedings of the International Conference on Radar (IEEE Cat. No.03EX695).

[12]  P. Grassberger,et al.  Estimation of the Kolmogorov entropy from a chaotic signal , 1983 .

[13]  D. Barrick.  History, present status, and future directions of HF surface-wave radars in the U.S , 2003, 2003 Proceedings of the International Conference on Radar (IEEE Cat. No.03EX695).

[14]  Hao Zhou,et al.  Ionospheric Clutter Suppression in HF Surface Wave Radar , 2009 .

[15]  F. Takens.  Detecting strange attractors in turbulence , 1981 .

[16]  Fuhui Long,et al.  Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  Weimin Huang,et al.  High frequency radar clutter power for mixed ionosphere-ocean propagation , 2014, 2014 16th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM).

[18]  Howard H. C. Chang,et al.  Radio waves in the ionosphere , 1962 .

[19]  Marc Hélier,et al.  Ionospheric clutter mitigation using one-dimensional or two-dimensional wavelet processing , 2009 .

[20]  Jane Labadin,et al.  Feature selection based on mutual information , 2015, 2015 9th International Conference on IT in Asia (CITA).

[21]  M. Ravan,et al.  Ionospheric clutter model for high frequency surface wave radar , 2012, 2012 IEEE Radar Conference.

[22]  Weimin Huang,et al.  On the Development of a High-Frequency Radar Cross Section Model for Mixed Path Ionosphere–Ocean Propagation , 2015, IEEE Transactions on Antennas and Propagation.

[23]  Characteristic study of ionospheric clutter in high-frequency over the horizon surface wave radar , 2009, 2009 IEEE Youth Conference on Information, Computing and Telecommunication.

[24]  Weimin Huang,et al.  A Vertical Reflection Ionospheric Clutter Model for HF Radar Used in Coastal Remote Sensing , 2015, IEEE Antennas and Wireless Propagation Letters.

[25]  Xiongbin Wu,et al.  Ionospheric effect of HF surface wave over‐the‐horizon radar , 2006 .

[26]  G. A. Leonov,et al.  Lyapunov dimension formula for the global attractor of the Lorenz system , 2015, Commun. Nonlinear Sci. Numer. Simul..