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Systems Engineering and Electronics, Journal of

Issue 2 • Date June 2003

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Displaying Results 1 - 19 of 19
  • [Front cover]

    Page(s): c1
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    Freely Available from IEEE
  • Copyright page

    Page(s): 1
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  • Contents

    Page(s): 1
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  • PO solution for scattering by the complex object coated with anisotropic materials

    Page(s): 1 - 7
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    The physical optics solution is presented for the calculation of scattering by the complex conducting bodies coat­ed with anisotropic materials, which is based on the tangential plane approximation and the equivalent currents on an anisotropic material backed by an infinite metal surface illuminated by the plane wave given in our previous work. The analytical scheme is proposed to realize fast computation of the solution. Numerical results for several coated bodies such as dihedral corner reflector and cone-cylinder geometry are given and discussed. View full abstract»

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  • Wireless location determination for mobile objects based on GSM in intelligent transportation systems

    Page(s): 8 - 13
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    The mobile object (MO) location determination technologies which can be used in intelligent transportation system (ITS) are studied in this paper. The principles and characteristics of wireless location determination technologies are introduced and the characteristics of GSM useful for location determination are also summarized. An experimental positioning system based on GSM is proposed, and the architecture is described. TOA method based on GSM signals and TDOA method are used in the experimental system. Moreover, the methods are simulated. The performance of the positioning methods is assessed in the simulation environment, and the accuracy for 67% mobile stations (MS) is 70m in urban areas. View full abstract»

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  • A new deghosting algorithm with hypothesis testing data fusion

    Page(s): 14 - 19
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    Eliminating the false intersection (deghosting) is a difficult problem in a passive cross location system. Using a decentralized decision fusion topology, a new deghosting algorithm derived from hypothesis testing theory is developed. It uses the difference between ghosts and true targets in the statistical error, which occurs between their projection angles on a deghosting sensor and is measured from a deghosting sensor, and constructs a corresponding test statistic. Under the Gaussian assumption, ghosts and true targets are decided and discriminated by Chi-square distribution. Simulation results show the feasibility of the algorithm. View full abstract»

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  • A new signal processing technique of π/4-DQPSK modem based on software radio

    Page(s): 20 - 24
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1536 KB)  

    π/4-DQPSK modem has been chosen as the modem scheme in many mobile communication systems. A new signal processing technique of π/4-DQPSK modem based on software radio is discussed in this paper. Unlike many other software radio solutions to the subject, we choose a universal digital radio baseband processor operating as the co-processor of DSP. Only the core algorithms for signal processing are implemented with DSP. Thus the computation burden on DSP is reduced significantly. Compared with the traditional ones, the technique mentioned in this paper is more promising and attractive. It is extremely compact and power-efficient, which is often required by a mobile communication system. The implementation of baseband signal processing for π/4-DQPSK modem on this platform is illustrated in detail. Special emphases are laid on the architecture of the system and the algorithms used in the baseband signal processing. Finally, some experimental results are presented and the performances of the signal processing and compensation algorithms are evaluated through computer simulations. View full abstract»

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  • Experts' knowledge fusion in model-based diagnosis based on Bayes networks

    Page(s): 25 - 30
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    In previous researches on a model-based diagnostic system, the components are assumed mutually independent. Howerver, the assumption is not always the case because the information about whether a component is faulty or not usually influences our knowledge about other components. Some experts may draw such a conclusion that “if component m1 is faulty, then component m2 may be faulty too”. How can we use this experts' knowledge to aid the diagnosis? Based on Kohlas's probabilistic assumption-based reasoning method, we use Bayes networks to solve this problem. We calculate the posterior fault probability of the components in the observation state. The result is reasonable and reflects the effectiveness of the experts' knowledge. View full abstract»

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  • Nonsmooth equations of K-T systems for a constrained minimax problem

    Page(s): 31 - 35
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    Using K-T optimality condition of nonsmooth optimization, we establish two equivalent systems of the nonsmooth equations for the constrained minimax problem directly. Then generalized Newton methods are applied to solve these systems of the nonsmooth equations. Thus a new approach to solving the constrained minimax problem is developed. View full abstract»

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  • A model-free method for structual change detection multivariate nonlinear time series

    Page(s): 36 - 46
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    In this paper, we apply the recursive genetic programming (RGP) approach to the cognition of a system, an then proceed to the detecting procedure for structural changes in the system whose components are of long memory. This approach is adaptive and model-free, which can simulate the individual activities of the system's participants. therefore it has strong ability to recognize the operating mechanism of the system. Based on the previous cognition about the system, a testing statistic is developed for the detection of structural changes in the system. Furthermore, an example is presented to illustrate the validity and practical value of the proposed. View full abstract»

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  • Relationship between track fusion solutions with and without feedback information

    Page(s): 47 - 51
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (950 KB)  

    In distributed multisensor data fusion systems, there are two types of track fusion approaches. One is sensor track fusion with feedback information, the other is without feedback information. This paper proves that the solutions of sensor track fusion with and without feedback information are both optimal and equal. View full abstract»

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  • An on-line modeling based Kalman filtering process for time-interval-variable sequences with application to astronomic surveying

    Page(s): 52 - 56
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    The problem of variable sampling time interval which appears in application of Kalman Filtering is analyzed and the corresponding filtering process with or without present transition matrix is suggested, then an application experiment for astronomical surveying is introduced. In this process, the known stochastically variable sampling time intervals play the roles as deterministic input sequences of the state-space description, and the corresponding matrix and (if needed) state transition matrix can be established by performing real-time and structure-linear system identification. View full abstract»

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  • On-line tuning scheme for the generalized predictive controller via simulation optimization

    Page(s): 57 - 62
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    Predictive control has recently received much attention from researchers. However a challenging problem to be solved is how to tune the parameters of the predictive controller. So far, only few guidelines related to tuning of the parameters of predictive controllers have been provided in literature. In practice, these parameters are generally off-line determined by the designers' experience. From the point of view of process control, it is difficult to find out the optimal parameters for the control system based on a single quadratic performance index, which is used in the standard predictive control algorithm. The fuzzy decision-making function is investigated in this paper. Firstly, M control actions are achieved by unconstrained predictive control algorithm, and fuzzy goals and fuzzy constraints are then calculated and the global satisfaction degree is obtained by fuzzy inference. Moreover, the weighting coefficient λ in the cost function is tuned using simulation optimization according to the fuzzy criteria. View full abstract»

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  • Indexing of content-based image retrieval system with image understanding approach

    Page(s): 63 - 68
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (3026 KB)  

    This paper presents a novel efficient semantic image classification algorithm for high-level feature indexing of high-dimension image database. Experiments show that the algorithm performs well. The size of the train set and the test set is 7 537 and 5 000 respectively. Based on this theory, another ground is built with 12,000 images, which are divided into three classes: city, landscape and person, the total result of the classifications is 88.92%, meanwhile, some preliminary results are presented for image understanding based on semantic image classification and low level features. The groundtruth for the experiments is built with the images from Corel database, photos and some famous face databases. View full abstract»

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  • A new shape-coding algorithm by using wavelet transform

    Page(s): 69 - 73
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1164 KB)  

    In this paper, we propose a new shape-coding algorithm called wavelet-based shape coding (WBSC). Performing wavelet transform on the orientation of original planar curve gives the corners called corner-1 points and end of arcs that belong to the original curve. Each arc is represented by a broken line and the corners called corner-2 points of the broken line are extracted. A polygonal approximation of a contour is an ordered list of corner-1 points; ends of arcs and corner-2 points which are extracted by using the above algorithm. All of the points are called polygonal vertices which will be compressed by our adaptive arithmetic encoding. Experimental results show that our method reduces code bits by about 26% compared with the context-based arithmetic encoding (CAE) of MPEG-4, and the subjective quality of the reconstructed shape is better than that of CAE at the same Dn. View full abstract»

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  • Application of the constrained predicated nets and interval logic to production systems

    Page(s): 74 - 81
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    A method to model and analyze the hybrid systems is presented. The time to. be considered in the plant is taken as an explicit parameter through the constrained predicated net (CPN). The CPN' s basic structure is a Petri net with predicated transition. All components of the net are expressed by annotation which is defined on rational set Q. The analysis method for the plant is interval temporal logic represented by Petri nets. This paper combines the above two methods to synthesize the hybrid system, gives a simple and clear expression of the expected action of the studied plant. View full abstract»

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  • A new generating method and its application

    Page(s): 82 - 85
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    In this paper, a new generating method-opposite-direction accumulated generating operation is presented The effectiveness of the method for different original sequences to choose different generating operation is discussed and the optimal parameters a and b of grey model by a new structure of background and initial value are obtained. Some properties of a grey model are studied. The calculating precision of the example shows that the method is very effective. View full abstract»

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  • A practical radial basic function network and its application

    Page(s): 86 - 89
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (723 KB)  

    Artificial neural networks (ANNs) have become important tools in many fields, such as pattern recognition, signal processing and artificial intelligence. But many ANNs have their defects. For example, the results of RBF networks greatly rely on the parameters of the basic functions and the squared errors often disperse if the parameters are not properly selected when the gradient descent algorithm is used. This paper describes a new algorithm for training an RB: network. In function approximation, this algorithm has two main advantages: high accuracy and stable learning process In addition, it can be used as a good classifier in pattern recoginition. View full abstract»

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  • Formal specifications and verification of a secure communication protocol model

    Page(s): 90 - 97
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    This paper presents a secure communication protocol model-EABM, by which network security communication can be realized easily and efficiently. First, the paper gives a thorough analysis of the protocol system, systematic construction and state transition of EABM. Then, it describes the channels and the process of state transition of EABM in terms of ESTELLE. At last, it offers a verification of the accuracy of the EABM model. View full abstract»

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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