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Yuncai Wang - One of the best experts on this subject based on the ideXlab platform.

  • location of wire faults using Chaotic Signal generated by an improved colpitts oscillator
    International Journal of Bifurcation and Chaos, 2014
    Co-Authors: Bingjie Wang, Anbang Wang, Yuncai Wang
    Abstract:

    We propose a method to locate wire faults using a Chaotic Signal generated by an improved Colpitts oscillator. The Chaotic Signal is divided into two parts: one serves as a reference Signal, and the other serves as a probe Signal which is sent down to the wire. The fault is detected by correlating the reference Signal with the probe Signal back-reflected from the fault. Experimental and numerical studies show that the Chaotic Signal generated by the improved Colpitts oscillator has a broad spectrum and excellent correlation properties. Using this Chaotic Signal, we experimentally prove our method can be used to locate open circuits, short circuits, impedance discontinuities and other different damage cases on wires, and also demonstrate its ability for testing live wires through the numerical simulation. The results show that a spatial resolution of 0.2 m and a maximum range of about 930 m can be achieved. Furthermore, the interference margin is about 167 dB for the digital Signals such as Mil-Std 1553 data on wire.

  • Range Finding and Fault Locating with Chaotic Signal
    IEICE Proceeding Series, 2014
    Co-Authors: Anbang Wang, Zhao Tong, Na Wang, Yuncai Wang
    Abstract:

    In this paper, we review our recent works on range finding and fault locating in optical network and wire with Chaotic Signal. Using a distributed-feedback semiconductor laser with optical feedback as Chaotic source, we developed a prototype Chaotic optical time domain reflectometer which can achieve a range- independent resolution of 4cm and measurable distance of about 70km. We further present the measurement of faults in the wavelength-division-multiplexing passive optical network (WDM-PON) by using a wavelength-tunable Chaotic laser. Moreover, we also demonstrate the location of wire faults or impedance discontinuities with Chaotic Signal. Our results show that the fault location using wideband Chaotic Signal is a promising method of precise diagnoses for WDM-PON and electric cables.

  • Location of Wire Faults Using Chaotic Signal
    IEEE Electron Device Letters, 2011
    Co-Authors: Anbang Wang, Mingjiang Zhang, Yuncai Wang
    Abstract:

    We propose a method for testing wire fault using a Chaotic Signal. The fault is detected by correlating the Chaotic Signal back-reflected from the fault with its delayed duplicate. Centimeter-level spatial resolution and antijamming can be achieved, benefiting from the broadband and randomness of the Chaotic waveform. We experimentally proved that our method can be used to locate the impedance discontinuities of several different kinds of electric cables. Preliminary experiments obtained 0.5-m resolution with a data acquisition bandwidth of 120 MHz. Further, we demonstrate the ability for testing live wires using our method.

  • enhancing the bandwidth of the optical Chaotic Signal generated by a semiconductor laser with optical feedback
    IEEE Photonics Technology Letters, 2008
    Co-Authors: Anbang Wang, Yuncai Wang
    Abstract:

    Bandwidth enhancement of Chaotic Signal generated from Chaotic laser by using continuous-wave optical injection is experimentally demonstrated. A distributed feedback semiconductor laser with optical feedback is employed as the Chaotic laser. The bandwidth of the Chaotic Signal is enhanced roughly three times by optical injection into the Chaotic laser compared with the bandwidth when there is no optical injection.

Anbang Wang - One of the best experts on this subject based on the ideXlab platform.

  • location of wire faults using Chaotic Signal generated by an improved colpitts oscillator
    International Journal of Bifurcation and Chaos, 2014
    Co-Authors: Bingjie Wang, Anbang Wang, Yuncai Wang
    Abstract:

    We propose a method to locate wire faults using a Chaotic Signal generated by an improved Colpitts oscillator. The Chaotic Signal is divided into two parts: one serves as a reference Signal, and the other serves as a probe Signal which is sent down to the wire. The fault is detected by correlating the reference Signal with the probe Signal back-reflected from the fault. Experimental and numerical studies show that the Chaotic Signal generated by the improved Colpitts oscillator has a broad spectrum and excellent correlation properties. Using this Chaotic Signal, we experimentally prove our method can be used to locate open circuits, short circuits, impedance discontinuities and other different damage cases on wires, and also demonstrate its ability for testing live wires through the numerical simulation. The results show that a spatial resolution of 0.2 m and a maximum range of about 930 m can be achieved. Furthermore, the interference margin is about 167 dB for the digital Signals such as Mil-Std 1553 data on wire.

  • Range Finding and Fault Locating with Chaotic Signal
    IEICE Proceeding Series, 2014
    Co-Authors: Anbang Wang, Zhao Tong, Na Wang, Yuncai Wang
    Abstract:

    In this paper, we review our recent works on range finding and fault locating in optical network and wire with Chaotic Signal. Using a distributed-feedback semiconductor laser with optical feedback as Chaotic source, we developed a prototype Chaotic optical time domain reflectometer which can achieve a range- independent resolution of 4cm and measurable distance of about 70km. We further present the measurement of faults in the wavelength-division-multiplexing passive optical network (WDM-PON) by using a wavelength-tunable Chaotic laser. Moreover, we also demonstrate the location of wire faults or impedance discontinuities with Chaotic Signal. Our results show that the fault location using wideband Chaotic Signal is a promising method of precise diagnoses for WDM-PON and electric cables.

  • Location of Wire Faults Using Chaotic Signal
    IEEE Electron Device Letters, 2011
    Co-Authors: Anbang Wang, Mingjiang Zhang, Yuncai Wang
    Abstract:

    We propose a method for testing wire fault using a Chaotic Signal. The fault is detected by correlating the Chaotic Signal back-reflected from the fault with its delayed duplicate. Centimeter-level spatial resolution and antijamming can be achieved, benefiting from the broadband and randomness of the Chaotic waveform. We experimentally proved that our method can be used to locate the impedance discontinuities of several different kinds of electric cables. Preliminary experiments obtained 0.5-m resolution with a data acquisition bandwidth of 120 MHz. Further, we demonstrate the ability for testing live wires using our method.

  • enhancing the bandwidth of the optical Chaotic Signal generated by a semiconductor laser with optical feedback
    IEEE Photonics Technology Letters, 2008
    Co-Authors: Anbang Wang, Yuncai Wang
    Abstract:

    Bandwidth enhancement of Chaotic Signal generated from Chaotic laser by using continuous-wave optical injection is experimentally demonstrated. A distributed feedback semiconductor laser with optical feedback is employed as the Chaotic laser. The bandwidth of the Chaotic Signal is enhanced roughly three times by optical injection into the Chaotic laser compared with the bandwidth when there is no optical injection.

Jose C Principe - One of the best experts on this subject based on the ideXlab platform.

  • reconstructed dynamics and Chaotic Signal modeling
    IEEE Workshop on Neural Networks for Signal Processing, 1994
    Co-Authors: Jyhming Kuo, Jose C Principe
    Abstract:

    A nonlinear AR model is derived from the reconstructed dynamics of a Signal. The underlying system is assumed to be nonlinear, autonomous, and deterministic. In this formulation, the output error scheme is shown to be more suitable than the equation error scheme in training a network as a nonlinear AR model of the Signal. A method to incorporate the information of the dynamical invariants in Signal modeling is proposed. >

  • reconstructed dynamics and Chaotic Signal modeling
    Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 1994
    Co-Authors: Jyhming Kuo, Jose C Principe
    Abstract:

    A nonlinear AR model is derived from the reconstructed dynamics of a Signal. The underlying system is assumed to be nonlinear, autonomous, and deterministic. In this formulation. The output error scheme is shown to be more suitable than the equation error scheme in network training. A method to incorporate the information of dynamical invariants in Signal modeling is proposed. Using this global information, the authors are able to avoid the oscillation problem in training a network to model Chaotic time series. >

T Schimming - One of the best experts on this subject based on the ideXlab platform.

  • symbolic dynamics for processing Chaotic Signal ii communication and coding
    IEEE Transactions on Circuits and Systems I-regular Papers, 2001
    Co-Authors: J Schweizer, T Schimming
    Abstract:

    For pt. I see ibid., vol. 48, no. 11, p. 1269-82 (2001). The idea of using Chaotic Signals in different layers of communication systems has attracted the attention of researchers as well as engineers and many encryption, coding, and modulation schemes have been proposed in recent years. One promising application is to employ Chaotic codes in broadband communication with the intention of achieving a better immunity to multipath degradation and self-interference, exploiting the nonperiodicity of Chaotic Signals. The main drawback is that an optimum, coherent detection cannot be implemented since a synchronized reference Signal on the receiver side has been, so far, only realizable for a finite number of code-words. This paper provides the analysis and results (theoretic and numerical) regarding design and optimization of chaos-based communication schemes, in particular: 1) performance limits for optimum coding and decoding schemes are derived, that are based on an infinite number of finite-length Chaotic sequences that are generated by a special class of Chaotic systems; 2) identification of fundamental differences between a finite set of conventional block codes and Chaotic codes; and 3) development of optimization rules for Chaotic codes.

Jyhming Kuo - One of the best experts on this subject based on the ideXlab platform.

  • reconstructed dynamics and Chaotic Signal modeling
    IEEE Workshop on Neural Networks for Signal Processing, 1994
    Co-Authors: Jyhming Kuo, Jose C Principe
    Abstract:

    A nonlinear AR model is derived from the reconstructed dynamics of a Signal. The underlying system is assumed to be nonlinear, autonomous, and deterministic. In this formulation, the output error scheme is shown to be more suitable than the equation error scheme in training a network as a nonlinear AR model of the Signal. A method to incorporate the information of the dynamical invariants in Signal modeling is proposed. >

  • reconstructed dynamics and Chaotic Signal modeling
    Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 1994
    Co-Authors: Jyhming Kuo, Jose C Principe
    Abstract:

    A nonlinear AR model is derived from the reconstructed dynamics of a Signal. The underlying system is assumed to be nonlinear, autonomous, and deterministic. In this formulation. The output error scheme is shown to be more suitable than the equation error scheme in network training. A method to incorporate the information of dynamical invariants in Signal modeling is proposed. Using this global information, the authors are able to avoid the oscillation problem in training a network to model Chaotic time series. >