Abstract
In this paper, based on the processing results of measured clutter data in forward scattering radar, a special phenomenon that the clutter spectrum spread is insensitive to the wind speed and carrier frequency is observed. The pendulum model is first time introduced into the physical modeling and formation mechanism analysis of surface clutter, and the quantitative expression of clutter spectrum spread is analytically obtained. Under the assumption of pendulum model, the processing results of measured clutter data agree well with the results of theoretical analysis, which fully verifies the correctness of pendulum model and reveals the formation mechanism of surface clutter spectrum in forward scattering radar. Furthermore, according to the stability of clutter spectrum spread with respect to carrier frequencies and wind speed, the optimal cutoff frequencies of clutter filter can be obtained, which establishes the basis for moving target detection and accurate parameters estimation.
Similar content being viewed by others
References
Skolnik M I. RADAR Handbook. 2nd ed. New York: McGaw-Hill, 1990
Willis N J. Bistatic Radar. Boston, MA: Artech House Inc., 1991
Chernyak V S. Fundamentals of Multisite Radar Systems: Multistatic Radars and Multiradar Systems. 2nd ed. NV: Gordon and Breach Science Publishers, 1998
Cherniakov M. Bistatic Radar: Principles and Practice. Chichester: John Wiley & Sons Ltd., 2007
Chen B H. The Reflectivity of Radar Target (in Chinese). Beijing: National Defense Industry Press, 1993
Billingsley J B, Farina A, Gini F, et al. Impact of experimentally measured Doppler spectrum of ground clutter cancellation on MTI and STAP. In: Proceedings of 1997 International Radar Conference. Edinburgh: IEEE Aerospace and Electronic Systems Society, 1997. 290–294
Chan H C. Radar sea-clutter at low grazing angles. IEE Proc, 1990, 137: 102–112
Chen K S, Fung A K. Frequency dependence of backscattered signals from forest components. IEE Proc, 1995, 142: 310–315
Jao J K. Amplitude distribution of composite terrain radar clutter and the K-distribution. IEEE Trans Anten Propag, 1984, 32: 1049–1062
Sangston K J, Gini F, Greco M V, et al. Optimum and sub-optimum coherent radar detection in compound-Gaussian clutter. IEEE Trans Aerospace Electr Syst, 1999, 35: 445–457
Farina A, Gini F, Greco M V, et al. Improvement factor for real sea-clutter Doppler frequency spectra. IEE Proc Radar Sonar Navig, 1996, 143: 341–344
Lombardo P, Billingsley J B. A new model for the Doppler spectrum of windblown radar ground clutter. In: The Record of the 1999 IEEE Radar Conference. MA: IEEE Aerospace and Electronic Systems Society, 1999. 142–147
Billingsley J B, Farina A, Gini F, et al. Statistical analyses of measured radar ground clutter data. IEEE Trans Aerospace Electr Syst, 1999, 35: 579–593
Greco M, Gini F, Farina A, et al. Validation of windblown radar ground clutter spectral shape. IEEE Trans Aerospace Electr Syst, 2001, 37: 538–548
Hu C, Long T, Zeng T. The possibility of isolated target 3-D position estimation and optimal receiver position determination in SS-BSAR. Sci China Ser F-Inf Sci, 2008, 51: 1372–1383
Blyakhman A B, Runova I A. Forward scattering radiolocation bistatic RCS and target detection. In: The Record of the IEEE 1999 International Radar Conference. MA: IEEE Aerospace and Electronic Systems Society, 1999. 203–208
Chapurskiy V V, Sablin V N. SISAR: shadow inverse synthetic aperture radiolocation. In: The Record of the IEEE 2000 International Radar Conference. VA: Institute of Electronical and Elctronics Engineers, 2000. 322–328
Long T, Hu C, Cherniakov M. Ground moving target signal model and power calculation in forward scattering micro radar. Sci China Ser F-Inf Sci, 2009, 52: 1704–1714
Adbullah R S A. Forward scattering radar for vehicle classification. PHD thesis. Birmingham: School of Electronic, Electrical and Computer Engineering of the University of Birmingham, 2005
Cherniakov M, Abdullah R S A R, Jancovic P, et al. Forward scattering micro sensor for vehicle classification. In: 2005 IEEE International Radar Conference record. VA: Institute of Electronical and Electronics Engineers, 2005. 184–189
Cherniakov M, Salous M, Abdullah R, et al. Forward scattering radar for ground targets detection and recognition. In: 2nd EMRS DTC Technical Conference. Edinburgh, 2005. A14–A19
Cherniakov M, Abdullah R S A R, Jancovic P, et al. Automatic ground target classification using forward scattering radar. IEE Proc Radar Sonar Navig, 2006, 153: 427–437
Overrein O, Navarro J, Shajpal V, et al. ISAR processing results from forward scatter radar measurements of ships. In: 2006 IEEE Conference on Radar. Shanghai, China, 2006. 560–564
Hu C, Antoniou M, Cherniakov M. Quasi-optimal signal processing in ground forward scattering radar. In: 2008 IEEE Radar Conference. Rome: Curran Associates Inc., 2008. 1–6
Sizov V, Hu C, Antoniou M, et al. Vegetation clutter SPECTRAL properties in vhf/uhf bistatic Doppler radar. In: 2008 IEEE Radar Conference. Rome: Curran Associates Inc., 2008. 1–6
Zeng H B, Hu C, Li T. The signal to noise ratio analysis of ground forward scattering radar. In: IET International Radar Conference 2009. Guilin: Institution of Engineering & Technology, 2009. 1–4
Hu C, Long T, Cherniakov M. Forward scattering micro radars for situation awareness. In: APSAR Conference. Xi’an, China, 2009. 1–4
Sizov V, Cherniakov M, Antoniou M. Forward scattering radar power budget analysis for ground targets. IET Radar Sonar Navig, 2007, 1: 437–446
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Long, T., Hu, C., Zeng, T. et al. Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar. Sci. China Inf. Sci. 53, 2310–2322 (2010). https://doi.org/10.1007/s11432-010-4085-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11432-010-4085-7