Abstract
In this paper, a new structure for moving targets detection and characteristics extraction in ground clutter is proposed. This structure combines Radial Basis Function (RBF) neural network, Burg algorithm, and notch filter. After dynamical reconstruction, the RBF network is used to predict the ground clutter. Spectral characteristics of the ground clutter are estimated using the Burg algorithm. We apply notch filter to cancel the interference caused by the ground clutter. Moreover, a hardware platform based on FPGA is also realized for this paper to demonstrate this proposed structure and sufficient details of the hardware platform are discussed. The results of simulation and hardware implementation show that the presented structure has a good performance in processing target signals mixed with the ground clutter.
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References
Leung, H.: Experimental Modeling of Electromagnetic Wave Scattering from an Ocean Surface Based on Chaotic Theory. Chaos, Fractals and Solitons 2, 25–43 (1992)
Palmer, A.J., Kropfli, R.A., Fairall, C.W.: Signatures of Deterministic Chaos in Radar Sea Clutter and Ocean Surface Winds. Chaos 5, 613–616 (1995)
Abarbanel, H.D.I.: Analysis of Observed Chaotic Data. Springer, New York (1996)
Haykin, S., Puthusserypady, S.: Chaotic Dynamics of Sea Clutter. Wiley, New York (1999)
Haykin, S.: Neural Networks: A Comprehensive Foundation, 2nd edn. China Machine Press (1998)
Leung, H., Dubash, N., Xie, N.: Detection of Small Objects in Clutter Using a GA-RBF Neural Network. IEEE Trans. Aerosp. Electron. Syst. 38, 98–118 (2002)
Huang, Y., Peng, Y.N.: Design of Airborne Adaptive Recursive MTI Filter for Detecting Targets of Slow Speed. In: 2000 IEEE National Radar Conference-Proceedings, pp. 215–218. IEEE Press, New York (2000)
Xiang, Y., Ma, X.Y.: AR Model Approaching-based Method for AMTI Filter Design. Systems Engineering and Electronics 27, 1826–1830 (2005)
Tseng, C.C., Pei, S.-C.: Sparse FIR Notch Filter Design and Its Application. Electronics Letters 33(13), 1131–1133 (1997)
Er, M.H.: Designing Notch Filter with Controlled Null Width. Signal Process 24, 319–329 (1991)
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© 2008 Springer-Verlag Berlin Heidelberg
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Lao, J., Ning, B., Zhang, X., Zhao, J. (2008). Detecting Moving Targets in Ground Clutter Using RBF Neural Network. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_35
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DOI: https://doi.org/10.1007/978-3-540-87734-9_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87733-2
Online ISBN: 978-3-540-87734-9
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