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Systems Engineering and Electronics, Journal of

Issue 3 • Date June 2010

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Displaying Results 1 - 25 of 32
  • [Front cover]

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  • Copyright page

    Page(s): 1
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  • Instructions for authors

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  • Contents

    Page(s): 1 - 2
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  • Reliable transmission of consultative committee for space data systems file delivery protocol in deep space communication

    Page(s): 349 - 354
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1323 KB)  

    In consultative committee for space data systems (CCSDS) file delivery protocol (CFDP) recommendation of reliable transmission, there are no detail transmission procedure and delay calculation of prompted negative acknowledge and asynchronous negative acknowledge models. CFDP is designed to provide data and storage management, story and forward, custody transfer and reliable end-to-end delivery over deep space characterized by huge latency, intermittent link, asymmetric bandwidth and big bit error rate (BER). Four reliable transmission models are analyzed and an expected file-delivery time is calculated with different transmission rates, numbers and sizes of packet data units, BERs and frequencies of external events, etc. By comparison of four CFDP models, the requirement of BER for typical missions in deep space is obtained and rules of choosing CFDP models under different uplink state informations are given, which provides references for protocol models selection, utilization and modification. View full abstract»

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  • Resource allocation with minimum transmit power in multicast OFDM systems

    Page(s): 355 - 360
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (511 KB)  

    To minimize the total transmit power for multicast service in an orthogonal frequency division multiplexing (OFDM) downlink system, resource allocation algorithms that adaptively allocate subcarriers and bits are proposed. The proposed algorithms select users with good channel conditions for each subcarrier to reduce the transmit power, while guaranteeing each user's instantaneous minimum rate requirement. The resource allocation problem is first formulated as an integer programming (IP) problem, and then, a full search algorithm that achieves an optimal solution is presented. To reduce the computation load, a suboptimal algorithm is proposed. This suboptimal algorithm decouples the joint resource allocation problem by separating subcarrier and bit allocation. Greedy-like algorithms are employed in both procedures. Simulation results illustrate that the proposed algorithms can significantly reduce the transmit power compared with the conventional multicast approach and the performance of the suboptimal algorithm is close to the optimum. View full abstract»

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  • Order selection in fractional Fourier transform based beamforming

    Page(s): 361 - 369
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (2874 KB)  

    Traditionally, beamforming using fractional Fourier transform (FrFT) involves a trial-and-error based FrFT order selection which is impractical. A new numerical order selection scheme is presented based on fractional power spectra (FrFT moment) of the linear chirp signal. This method can adaptively determine the optimum FrFT order by maximizing the second-order central FrFT moment. This makes the desired chirp signal substantially concentrated whereas the noise is rejected considerably. This improves the mean square error minimization beamformer by reducing effectively the signal-noise cross terms due to the finite data length de-correlation operation. Simulation results show that the new method works well under a wide range of signal to noise ratio and signal to interference ratio. View full abstract»

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  • Modified pseudo-noise code regeneration method

    Page(s): 370 - 374
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    A modified pseudo-noise (PN) code regeneration method is proposed to improve the clock tracking accuracy without impairing the code acquisition time performance. Thus, the method can meet the requirement of high accuracy ranging measurements in short time periods demanded by radio-science missions. The tracking error variance is derived by linear analysis. For some existing PN codes, which can be acquired rapidly, the tracking error variance performance of the proposed method is about 2.6 dB better than that of the JPL scheme (originally proposed by Jet Propulsion Laboratory), and about 1.5 dB better than that of the traditional double loop scheme. View full abstract»

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  • Phase-domain blind estimation of symbol duration based on Haar wavelet transform

    Page(s): 375 - 381
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1004 KB)  

    A phase-domain blind estimator of symbol duration based on Haar wavelet transform (HWT) is proposed. It can estimate the symbol duration of phase modulated signals, such as M-ary phase-shift keying (MPSK) signals and polyphase coded signals. The closed form of the spectrum of HWT is derived. Theoretical analysis shows the frequency of the first spectral peak is equal to the symbol rate, which is the reciprocal of symbol duration. Thus the symbol duration can be extracted from the spectrum. Subsequently, the optimum wavelet scale is determined according to the maximum output signal to noise ratio (OSNR) criterion. MATLAB simulations show that this algorithm can blindly estimate the symbol duration without any prior knowledge. This estimator need not estimate the carrier frequency and has the characteristics of low computation complexity and high accuracy. View full abstract»

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  • Pulse-to-pulse periodic signal sorting features and feature extraction in radar emitter pulse sequences

    Page(s): 382 - 389
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1144 KB)  

    A novel class of periodically changing features hidden in radar pulse sequence environment, named G features, is proposed. Combining fractal theory and Hilbert-Huang transform, the features are extracted using changing characteristics of pulse parameters in radar emitter signals. The features can be applied in modern complex electronic warfare environment to address the issue of signal sorting when radar emitter pulse signal parameters severely or even completely overlap. Experiment results show that the proposed feature class and feature extraction method can discriminate periodically changing pulse sequence signal sorting features from radar pulse signal flow with complex variant features, therefore provide a new methodology for signal sorting. View full abstract»

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  • Airport automatic detection in large space-borne SAR imagery

    Page(s): 390 - 396
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (2478 KB)  

    A method to detect airports in large space-borne synthetic aperture radar (SAR) imagery is studied. First, the large SAR imagery is segmented according to amplitude characteristics using maximum a posteriori (MAP) estimator based on the heavytailed Rayleigh model. The attention is then paid on the object of interest (001) extracted from the large images. The minimumarea enclosing rectangle (MER) of 001 is created via a rotating calipers algorithm. The projection histogram (PH) of MER for 001 is then computed and the scale and rotation invariant feature for 001 are extracted from the statistical characteristics of PH. A support vector machine (SVM) classifier is trained using those feature parameters and the airport is detected by the SVM classifier and Hough transform. The application in space-borne SAR images demonstrates the effectiveness of the proposed method. View full abstract»

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  • New method for passive radar seeker to antagonize non-coherent radar decoy

    Page(s): 397 - 403
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (2090 KB)  

    Using super resolution direction of arrival (DOA) estimation algorithm to reduce the resolution angle is an effective method for passive radar seeker (PRS) to antagonize non-coherent radar decoy. Considering the power and correlation property between radar and non-coherent decoy, an improved subspace DOA estimation method based on traditional subspace algorithm is proposed. Because this new method uses the invariance property of noise subspace, compared with traditional MUSIC algorithm, it shows not only better resolution in condition of closely spaced sources, but also superior performance in case of different power or partially correlated sources. Using this new method, PRS can distinguish radar and non-coherent decoy with good performance. Both the simulation result and the experimental data confirm the performance of the method. View full abstract»

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  • Doppler radar by using single multicarrier pulse based on optical fibre delay lines

    Page(s): 404 - 407
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (393 KB)  

    The proposed Doppler measurement technique shows that the Doppler measurements can be accomplished by a single pulse with multiple frequency components through optical fibre delay lines. Range and velocity ambiguity can be removed, and the velocity resolution can be improved dramatically by using long optical fibre delay lines. Furthermore, the velocity resolution can be modified by adjusting the length of optical fibre delay lines. In addition, the proposed radar can achieve high range resolution by using a single wideband pulse. As a result, the new approach can improve radar performance significantly. View full abstract»

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  • Interactive group decision making procedure based on uncertain multiplicative linguistic preference relations

    Page(s): 408 - 415
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1646 KB)  

    Group decision making problems are investigated with uncertain multiplicative linguistic preference relations. An unbalanced multiplicative linguistic label set is introduced, which can be used by the experts to express their linguistic preference information over alternatives. The uncertain linguistic weighted geometric mean operator is utilized to aggregate all the individual uncertain multiplicative linguistic preference relations into a collective one, and then a simple approach is developed to determine the experts' weights by utilizing the consensus degrees among the individual uncertain multiplicative linguistic preference relations and the collective uncertain multiplicative linguistic preference relations. Furthermore, a practical interactive procedure for group decision making is proposed based on uncertain multiplicative linguistic preference relations, in which a possibility degree formula and a complementary matrix are used to rank the given alternatives. Finally, the proposed procedure is applied to solve the group decision making problem of a manufacturing company searching the best global supplier for one of its most critical parts used in assembling process. View full abstract»

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  • Extension of TOPSIS for fuzzy multi-attribute decision making problem based on experimental analysis

    Page(s): 416 - 422
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1220 KB)  

    This paper is concerned with a technique for order performance by similarity to ideal solution (TOPSIS) method for fuzzy multi-attribute decision making, in which the information about attribute weights is partly known and the attribute values take form of triangular fuzzy numbers. Considering the fact that the triangular fuzzy TOPSIS results yielded by different distance measures are different from others, a comparative analysis of triangular fuzzy TOPSIS ranking from each distance measure is illustrated with discussion on standard deviation. By applying the most reasonable distance, the deviation degrees between attribute values are measured. A linear programming model based on the maximal deviation of weighted attribute values is established to obtain the attribute weights. Therefore, alternatives are ranked by using TOPSIS method. Finally, a numerical example is given to show the feasibility and effectiveness of the method. View full abstract»

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  • Two-phase TOPSIS of uncertain multi-attribute group decision-making

    Page(s): 423 - 430
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (563 KB)  

    To solve the uncertain multi-attribute group decisionmaking of unknown attribute weights, three optimal models are built to decide the corresponding ideal solution weights, standard deviation weights and mean deviation weights. The comprehensive attribute weights are gotten through the product of the above three kinds of weights. And each decision maker's weighted decision matrices are also received by using the integrated attribute weights. The closeness degrees are also gotten by use of technique for order preference by similarity to ideal solution (TOPSIS) through dealing with the weighted decision matrices. At the same time the group decision matrix and weighted group decision matrix are gotten by using each decision-maker's closeness degree to every project. Then the vertical TOPSIS method is used to calculate the closeness degree of each project. So these projects can be ranked according to their values of the closeness degree. The process of the method is also given step by step. Finally, a numerical example demonstrates the feasibility and effectiveness of the approach. View full abstract»

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  • Induced and heavy aggregation operators with distance measures

    Page(s): 431 - 439
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (394 KB)  

    This paper introduces a new aggregation model by using induced and heavy aggregation operators in distances measures such as the Hamming distance. It is called the induced heavy ordered weighted averaging (OWA) distance (IHOWAD) operator. This paper studies some of its main properties and a wide range of particular cases such as the induced heavy OWA (IHOWA) operator, the induced OWA distance (IOWAD) operator and the heavy OWA distance (HOWAD) operator. This approach is generalized by using generalized and quasi-arithmetic means obtaining the induced generalized IHOWAD (IGHOWAD) operator and the Quasi-IHOWAD operator. An application of the new approach in a decision making problem regarding the selection of strategies is developed. View full abstract»

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  • Supply chain coordination mechanisms under flexible contracts

    Page(s): 440 - 448
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (715 KB)  

    In supply chain management, an important research direction is to coordinate the supply chain through introducing flexible contracts. A supply chain contract is flexible if it can satisfy two conditions at the same time: the supply chain is coordinated, and the total profit of the supply chain can be arbitrarily divided between the supply chain members. This paper puts out two contracts, a flexible return contract and a flexible wholesale price discount contract. In contrast to many of literature, the supply chain contracts with an endogenous wholesale price is specifically considered, and a detailed sensitivity analysis of the contract parameters is given. The paper also discusses the application of the contract in vendor-managed inventory (VMI) mode. The results show that the supply chain's performance is improved after introducing above contracts. All the findings are illustrated by numerical examples. View full abstract»

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  • Coordinated Bayesian optimal approach for the integrated decision between electronic countermeasure and firepower attack

    Page(s): 449 - 454
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (643 KB)  

    The coordinated Bayesian optimization algorithm (CBOA) is proposed according to the characteristics of the function independence, conformity and supplementary between the electronic countermeasure (ECM) and the firepower attack systems. The selection criteria are combinations of probabilities of individual fitness and coordinated degree and can select choiceness individual to construct Bayesian network that manifest population evolution by producing the new chromosome. Thus the CBOA cannot only guarantee the effective pattern coordinated decision-making mechanism between the populations, but also maintain the population multiplicity, and enhance the algorithm performance. The simulation result confirms the algorithm validity. View full abstract»

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  • Fuzzy distances based FMAGDM compromise ratio method and application

    Page(s): 455 - 460
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (434 KB)  

    An extended compromise ratio method (CRM) based on fuzzy distances is developed to solve fuzzy multi-attribute group decision making problems in which weights of attributes and ratings of alternatives on attributes are expressed with values of linguistic variables parameterized using triangular fuzzy numbers. A compromise solution is determined by introducing the ranking index based on the concept that the chosen alternative should be as close as possible to the positive ideal solution and as far away from the negative ideal solution as possible simultaneously. This proposed method is compared with other existing methods to show its feasibility and effectiveness and illustrated with an example of the military route selection problem as one of the possible applications. View full abstract»

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  • Ultrafast optoelectronic technology for radio metrology applications

    Page(s): 461 - 468
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (1101 KB)  

    Ultrafast optoelectronic technology has been widely used in terahertz time domain spectrum, terahertz imaging technology, terahertz communication and so on, and great progress has been achieved in the past two decade. Recently, this innovative technology has been applied in radio metrology and supplied a potential and hopeful method to solve the existent challenges of calibration devices and equipments with bandwidth up to 100 GHz. This paper generally summarizes the emerging applications of the ultrafast optoelectronic technology in radio metrology. The main applications of this technology in calibrating broadband sampling oscilloscopes, the high-speed photodiodes and calibrating the electrical pulse generators are emphasized, and the testing of monolithic microwave integrated circuits is also presented. View full abstract»

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  • Tracking control for air-breathing hypersonic cruise vehicle based on tangent linearization approach

    Page(s): 469 - 475
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (772 KB)  

    This paper is focused on developing a tracking controller for a hypersonic cruise vehicle using tangent linearization approach. The design of flight control systems for air-breathing hypersonic vehicles is a highly challenging task due to the unique characteristics of the vehicle dynamics. Motivated by recent results on tangent linearization control, the tracking control problem for the hypersonic cruise vehicle is reduced to that of a feedback stabilizing controller design for a linear time-varying system which can be accomplished by a standard design method of frozen-time control. Through a proper model transformation, it can be proven that the tracking error of the designed closed-loop system decays exponentially. Simulation studies are conducted for trimmed cruise conditions of 110 000 ft and Mach 15 where the responses of the vehicle to step changes in altitude and velocity are evaluated. The effectiveness of the controller is demonstrated by simulation results. View full abstract»

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  • Controlling uncertain fuzzy neutral dynamic systems with Markov jumps

    Page(s): 476 - 484
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (679 KB)  

    The robust H control problems for stochastic fuzzy neutral Markov jump systems (MJSs) with parameters uncertainties and multiple time-delays are considered. The delays are respectively considered as constant and time varying, and the uncertain parameters are assumed to be norm bounded. By means of Takagi-Sugeno fuzzy models, the overall closed-loop fuzzy dynamics are constructed through selected membership functions. By selecting the appropriate Lyapunov-Krasovskii functions, the sufficient condition is given such that the uncertain fuzzy neutral MJSs are stochastically stability for all admissible uncertainties and satisfies the given H control index. The stability and H control criteria are formulated in the form of linear matrix inequalities, which can be easily checked in practice. Practical examples illustrate the effectiveness of the developed techniques. View full abstract»

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  • Research on star-tracking correction technology for near-earth flight vehicles

    Page(s): 485 - 490
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (522 KB)  

    By analyzing the traditional star-tracking correction technology, this paper studies the star-tracking direct correction method which is based on star sensor dynamic separation initial displacement angles and main errors of inertial measure unit (IMU) in order to carry out automatic navigation and improve the hitting accuracy and quick reaction capability of near-earth flight vehicles. Through comprehensive application and improvement of the best correction factor method, this paper proposes the startracking comprehensive correction method which combines the two methods above-mentioned and the accelerometer dynamic error separation technology. The simulation results show that obvious effects can be achieved by using the star-tracking integrated correction method. View full abstract»

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  • Multi-range controller design for highly nonlinear systems with application to unmanned aerial vehicles

    Page(s): 491 - 495
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (494 KB)  

    A new procedure for a design of multi-range controllers for use with highly nonlinear systems is developed. The procedure involves obtaining the describing function models of the nonlinear plant by software followed by designing a controller at nominal conditions. Then, the controller parameters are optimized to yield a satisfactory closed-loop response at all operating regimes. Finally, the performance and stability of the closed-loop system comprised of the designed controller and the nonlinear plant are verified. The procedure and the associated software are applied to a nonlinear control problem of the sort encountered in aerospace, and the results are compared with two other approaches. View full abstract»

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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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Professor Rong Shi
Journal of Systems Engineering and Electronics