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A velocity measurement method based on scaling parameter estimation of chaotic system

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Języki publikacji
EN
Abstrakty
EN
In this paper, we propose a new method of measuring the target velocity by estimating the scaling parameter of a chaos-generating system. First, we derive the relation between the target velocity and the scaling parameter of the chaos-generating system. Then a new method for scaling parameter estimation of the chaotic system is proposed by exploiting the chaotic synchronization property. Finally, numerical simulations show the effectiveness of the proposed method in target velocity measurement.
Rocznik
Strony
275--281
Opis fizyczny
Bibliogr. 16 poz., rys., tab., wykr.
Twórcy
autor
autor
autor
autor
autor
autor
  • School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China, liulidong_1982@126.com
Bibliografia
  • [1] Liu, Z., Zhu, X., Hu, W. (2007). Principles of chaotic signal radars. International Journal of Bifurcation and Chaos, 17 (5),1735-1739.
  • [2] Leung, H., Shanmugam, S., Xie, N.(2006). An ergodic approach for chaotic signal estimation at low SNR with application to ultra-wide-band communication. IEEE Trans. Signal Process., 54 (5), 1091-1103.
  • [3] Venkatasubramanian, V., Leung, H. (2005). A novel chaos-based high-resolution imaging technique and its application to through-the-wall imaging. IEEE Signal Processing Letters, 12 (6), 528-531.
  • [4] Ghosh, D. (2008). Adaptive scheme for synchronization-based multiparameter estimation from a single chaotic time series and its applications. Phys. Rev. E, 78, 056211(1)-056211(5).
  • [5] Wang, K. et al (2008). Symbolic Vector Dynamics Approach to Initial Condition and Control Parameters Estimation of Coupled Map Lattices. IEEE Trans. Circuits and Systems I: Regular Papers, 55 (4), 1116-1124.
  • [6] Thayaparan, T. et al (2008). Editorial Signal Processing in Noise Radar Technology. IET Radar, Sonar and Navigation, 2 (4), 229-232.
  • [7] Narayanan, R.M., Dawood, M. (2000). Doppler estimation using a coherent ultrawide-band random noise radar. IEEE Trans. Antennas and Propagation, 28 (6), 868-878.
  • [8] Carroll, T. (2005). Chaotic system for self-synchronizing Doppler measurement. Chaos, 15, 013109.1-013109.5.
  • [9] Shi, Z ., Qiao, S., Chen, K.S. (2007). Ambiguity functions of direct chaotic radar employing microwave chaotic Colpitts oscillator. Progress In Electromagnetics Research, 77, 1-14.
  • [10] Susek, W., Stec, B. (2010). Broadband microwave correlation of noise signals. Metrology and Measurement System, 17 (2), 289-299.
  • [11] Pecora, L., Carroll, T. (1990). Synchronization in chaotic systems. Phys. Rev. Lett., 64 (6), 821-825.
  • [12] Wang, K., Pei, W., He, Z. (2007). Estimating initial conditions in coupled map lattices from noisy time series using symbolic vector dynamics. Phys. Lett. A, 367 (6), 316-321.
  • [13] He, Q ., Wang, L., Liu, B. (2006). Parameter estimation for chaotic systems by particle swarm optimization. Chaos, Solitons & Fractals, 34 (2), 654-661.
  • [14] Gao, F., Lee, J., Li, Z. (2009). Parameter estimation for chaotic system with initial random noises by particle swarm optimization. Chaos, Solitons and Fractals, 42, 1286-1291.
  • [15] Fostin, H., Woafo, P. (2005). Adaptive synchronization of a modified and uncertain chaotic Van der Pol-Duffing oscillator based on parameter identification. Chaos, Solitons & Fractals, 24 (12), 1363-1371.
  • [16] Travassos X. L., Vieira D., Palade V. (2009). Noise Reduction in a Non-Homogenous Ground Penetrating Radar Problem by Multiobjective Neural Networks. IEEE Trans. Magnetics, 45 (3), 1454-1457.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW1-0079-0009
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