A Range Imaging Method Based on Chaotic Signal Radar

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Abstract:

The principle of imaging method based on matched filtering and chaos theory are introduced. On this basis, a new method of range imaging using the correlation function of the chaotic signal is provided. At the same time, simulation models and simulation results are given. The experiment results show this method has the advantages of good range resolution and excellent anti-interference performance, the quality of the reconstruction image is fine.

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1747-1751

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] G.S. Liu, H. Gu, W. M. Su. Random signal radar[M]. Beijing: Nation Defence Industry Press, (2005).

Google Scholar

[2] F.Y. Lin, J.M. Liu. Chaotic radar using nonlinear laser dynamics[J]. IEEE Journal of Quantum Electronics, (2004), Vol. 40(6), pp.815-820.

DOI: 10.1109/jqe.2004.828237

Google Scholar

[3] F.Y. Lin, J.M. Liu. Ambiguity functions of laser-based chaotic radar[J]. IEEE Journal of Quantum Electronics, (2004), Vol. 40(12), pp.1732-1738.

DOI: 10.1109/jqe.2004.836811

Google Scholar

[4] U. Parlitz, S. Ergezinger. Robust communication based on chaotic spreading sequences[J]. Phys. Lett. A, (1994), Vol. 188, pp.146-150.

DOI: 10.1016/0375-9601(84)90009-4

Google Scholar

[5] G. Mazzini. Chaotic complex spreading sequences for asynchronous DS-CDMA-Part I: System modeling and results[J]. IEEE Trans. on Circuit and System I, (1997), Vol. 44(10), pp.937-947.

DOI: 10.1109/81.633883

Google Scholar

[6] D.J. Luo, X. Zhang, M.F. Dong. Qualitative and bifurcation theory of dynamic system[M]. Beijing: Science Press, (2001).

Google Scholar

[7] D.S. Wang, L. Cao. Chaos, fractals with Applications[M]. Hefei: University of Science and Technology of China Press, (1995).

Google Scholar

[8] S. Mehrdad, Synthetic apecture radar signal processing with matlab algorithms[M]. New York: John Wiley & Sons, Inc, (1999).

Google Scholar

[9] S.H. Liu, D.S. Wang. Range-Doppler radar imaging based on chaotic Gaussian frequency modulation[J]. Fire Control and Command Control, (2010), Vol. 35(1), pp.13-15.

Google Scholar