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Systems Engineering and Electronics, Journal of

Issue 1 • Date March 2000

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Displaying Results 1 - 15 of 15
  • [Front cover]

    Publication Year: 2000 , Page(s): c1
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    Freely Available from IEEE
  • Copyright

    Publication Year: 2000 , Page(s): 1
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  • Contents

    Publication Year: 2000 , Page(s): 1
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    Freely Available from IEEE
  • Radar cross-section measurement using the near-field single-frequency angular-diversity technique

    Publication Year: 2000 , Page(s): 01 - 07
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (968 KB)  

    Radar cross-section (RCS) measurement with the near-field electromagnetic wave illumination of a target has been proved to be practical. The existing methods employ the multiplefrequency angular-diversity (MFAD) technique, whereas this paper considers the single-frequency angular-diversity (SFAD) technique. The paper takes into account the scattering center modeling and the limitation of higher sidelobes in reconstructing images in the SFAD technique compared to the MFAD technique. A method of combining the SFAD technique with the RELAX approach is presented for the high-resolution extraction of scattering centers on a target. The proposed method offers an excellent RCS recovery, which is validated by numerical results. View full abstract»

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  • Features of channel and signal processing of fuze

    Publication Year: 2000 , Page(s): 08 - 13
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (968 KB)  

    This paper simply discusses the outer channels and their characteristics of information communication between the fuze and outer environments based on the view that the fuze is an information system, and deeply analyzes the information features of high frequency signal processing that mainly recovers the echo signals and controls the noises instead of picking up the required target information. But it can reduce the uncertainty of the signal caused by noise. The information processing of fuze is mainly completed by the low frequency information processing system. View full abstract»

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  • An AI embedded object-oriented approach for formulating computable general equllibrium

    Publication Year: 2000 , Page(s): 14 - 20
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1017 KB)  

    This paper proposes and illustrates an AI embedded object-oriented methodology to formulate the computable general equilibrium (CGE) models. In this framework, a CGE model is viewed as a collection of objects embedded AI or namely agents in computer world, corresponding to economic agents and entities in real world, such as government, households, markets and so on. A frame representation of major objects in CGE model is used for trade and environment. Embedded AI object-oriented approach (or software agent) is used in the CGE model representation can able to narrow the gap among the sernantic representation, formal CGE (mathematical) representation and computer and algorithm representation, and to improve CGE in understanding and maintenance etc. In such a system, constructing a CGE model to appear an intuitive process rather than an abstract process. This intuitive. process needs more understanding of the substance of economics and the logic underlying the problem rather than mathematical notation. View full abstract»

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  • Natural gradient approach to multichannel blind deconvolution

    Publication Year: 2000 , Page(s): 22 - 31
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1173 KB)  

    In this paper we study the geometrical structures of FIR filters and their application to multichannel blind deconvolution. First we introduce a Lie group structure and a Riemannian structure on the manifolds of the FIR filters. Then we derive the natural gradients on the manifolds using the isometry of the Riemannian metric. Using the natural gradient, we present a novel learning algorithm for blind deconvolution based on the minimization of mutual information. Some properties of the learning algorithm, such as equivariance and stability are also studied. Finally, the simulations are given to illustrate the effectiveness and validity of the proposed algorithm. View full abstract»

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  • Implementation of time-scale transformation based on continuous wavelet theory

    Publication Year: 2000 , Page(s): 32 - 37
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (853 KB)  

    The basic objective of time-scale transformation is to compress or expand the signal in time field while keeping the same spectral properties. This paper presents two methods to derive time-scale transformation formula based on continuous wavelet transform. For an arbitrary given square-integrable function f(t), g(t) = f(t/λ) is derived by continuous wavelet transform and its inverse transform. The result shows t at time-scale transformation may be obtained through the modification of the time-scale of wavelet function filter using equivalent substitution. The paper demonstrates the result by theoretic derivations and experimental simulation. View full abstract»

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  • A recovery algorithm for self-stabilizing communication protocols

    Publication Year: 2000 , Page(s): 38 - 46
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1107 KB)  

    This paper presents a recovery algorithm for self-stabilizing communication protocols. It first describes some concepts and a formal description method for the algorithm. Then it proposes the algorithm procedures, proves its correctness and analyses its complexity. Finally, it also verifies the availability and efficiency of the algorithm by illustrating an example protocol with multi-processes. View full abstract»

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  • Neural network inverse adaptive controller based on Davidon least square

    Publication Year: 2000 , Page(s): 47 - 52
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (628 KB)  

    General neural network inverse adaptive controller has two flaws: the first is the slow convergence speed; the second is the invalidation to the non-minimum phase system. These defects limit the scope in which the neural network inverse adaptive controller is used. We employ Davidon least squares in training the multi-layer feedforward neural network used in approximating the inverse model of plant to expedite the convergence, and then through constructing the pseudo-plant, a neural network inverse adaptive controller is put forward which is still effective to the nonlinear non-minimum phase system. The simulation results show the validity of this scheme. View full abstract»

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  • Principle, method of object-relation hypermedia data model and its application in the multimedia spatial data management

    Publication Year: 2000 , Page(s): 53 - 60
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1875 KB)  

    In this paper, a new multimedia data model, namely object-relation hypermedia data model (O-RHDM) which is an advanced and effective multimedia data model is proposed and designed based on the extension and integration of non first normal form (NF2) multimedia data model. Its principle, mathematical description, algebra operation, organization method and store model are also discussed. And its specific application example in the multimedia spatial data management is given combining with the Hainan multimedia touring information system. View full abstract»

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  • A fuzzy-neural network control of nonlinear dynamic systems

    Publication Year: 2000 , Page(s): 61 - 66
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (731 KB)  

    In this paper, an adaptive dynamic control scheme based on a fuzzy neural network is presented, that presents utilizes both feed-forward and feedback controller elements. The former of the two elements comprises a neural network with both identification and control role, and the latter is a fuzzy neural algorithm, which is introduced to provide additional control enhancement. The feedforward controller provides only coarse control, whereas the feedback controller can generate on-line conditional proposition rule automatically to improve the overall control action. These properties make the design very versatile and applicable to a range of industrial applications. View full abstract»

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  • On-line real time realization and application of adaptive fuzzy inference neural network

    Publication Year: 2000 , Page(s): 67 - 74
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (933 KB)  

    In this paper, a modeling algorithm developed by transferring the adaptive fuzzy inference neural network into an on-line real time algorithm, combining the algorithm with conventional system identification method and applying them to separate identification of nonlinear multi-variable systems is introduced and discussed. View full abstract»

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  • Study on federated architecture for GPS/INS/TRN integrated navigation system

    Publication Year: 2000 , Page(s): 75 - 80
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (805 KB)  

    Based on the information fusion theory, a kind of integrated navigation system integration for cruise missile is presented in this paper. Besides the way with which the system is integrated and the related data fusion technique are discussed. Information-fusion-based hybrid navigation system integration can fully utilize information provided by all kinds of navigation sensor subsystem and can improve the precision of the system effectively. Simultaneously, the reconstructing ability ensures the system of great reliability. View full abstract»

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  • Call for papers announcement of Eurosim 2001: Shaping future with simulation

    Publication Year: 2000 , Page(s): 1
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    Freely Available from IEEE

Aims & Scope

Journal of Systems Engineering and Electronics reports the latest developments and achievements in both theoretical and practical aspects of systems engineering, electronics and related research areas.

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Editor-in-Chief
Professor Rong Shi
Journal of Systems Engineering and Electronics