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Systems Engineering and Electronics, Journal of

Issue 6 • Date Dec. 2008

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Displaying Results 1 - 25 of 42
  • [Front cover]

    Page(s): c1
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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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  • Krylov subspace method based on data preprocessing technology

    Page(s): 1063 - 1069
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (299 KB)  

    The performance of adaptive beamforming techniques is limited by the nonhomogeneous clutter scenario. An augmented Krylov subspace method is proposed, which utilizes only a single snapshot of the data for adaptive processing. The novel algorithm puts together a data preprocessor and adaptive Krylov subspace algorithm, where the data preprocessor suppresses discrete interference and the adaptive Krylov subspace algorithm suppresses homogeneous clutter. The novel method uses a single snapshot of the data received by the array antenna to generate a cancellation matrix that does not contain the signal of interest (SOl) component, thus, it mitigates the problem of highly nonstationary clutter environment and it helps to operate in real-time. The benefit of not requiring the training data comes at the cost of a reduced degree of freedom (DOF) of the system. Simulation illustrates the effectiveness in clutter suppression and adaptive beamforming. The numeric results show good agreement with the proposed theorem. View full abstract»

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  • Simplified calculation of UWB signal transmitting through a finitely conducting slab

    Page(s): 1070 - 1075
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (305 KB)  

    A simplified closed-form analytic solution for UWB impulse signal transmitting through a finitely conducting slab is proposed. The approach first requires evaluating the impulse response of the slab and then convolving it with the specified incident field waveform. To obtain the impulsive transmitting field, either for vertical or horizontal polarization, approximations to the refraction coefficients and propagation loss are made, which can be proved to be accurate enough, comparing with their frequency domain solutions. Thereby, it permits simplified closed-form expressions in the time domain for both terms. The resulting transient response for the transmitting impulse field is then given by convolution of the time domain refraction coefficients and time domain propagation loss. A numerical example of an incident mono cycle transmitting through a slab using this technique, is presented, to illustrate the effective use of the method. View full abstract»

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  • Empirical mode decomposition using variable filtering with time scale calibrating

    Page(s): 1076 - 1081
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (434 KB)  

    A novel and efficient method for decomposing a signal into a set of intrinsic mode functions (IMFs) and a trend is proposed. Unlike the original empirical mode decomposition (EMD), which uses spline fits to extract variations from the signal by separating the local mean from the fluctuations in the decomposing process, this new method being proposed takes advantage of the theory of variable finite impulse response (FIR) filtering where filter coefficients and breakpoint frequencies can be adjusted to track any peak-to-peak time scale changes. The IMFs are results of a multiple variable frequency response FIR filtering when signals pass through the filters. Numerical examples validate that in contrast with the original EMD, the proposed method can fine-tune the frequency resolution and suppress the aliasing effectively. View full abstract»

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  • Application of multi-resolution analysis in sonar image denoising

    Page(s): 1082 - 1089
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (422 KB)  

    Sonar images have complex background, low contrast, and deteriorative edges; these characteristics make it difficult for researchers to dispose the sonar objects. The multi-resolution analysis represents the signals in different scales efficiently, which is widely used in image processing. Wavelets are successful in disposing point discontinuities in one dimension, but not in two dimensions. The finite Ridgelet transform (FRIT) deals efficiently with the singularity in high dimension. It presents three improved denoising approaches, which are based on FRIT and used in the sonar image disposal technique. By experiment and comparison with traditional methods, these approaches not only suppress the artifacts, but also obtain good effect in edge keeping and SNR of the sonar image denoising. View full abstract»

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  • Research on ambiguity resolution aided with triple difference

    Page(s): 1090 - 1096
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (265 KB)  

    The ambiguity resolution in the field of GPS is investigated in detail. A new algorithm to resolve the ambiguity is proposed. The algorithm first obtains the floating resolution of the ambiguity aided with triple difference measurement. Decorrelation of searching space is done by reducing the ambiguity covariance matrix's dimension to overcome the possible sick factorization of the matrix brought by Z-transformation. In simulation, the proposed algorithm is compared with least-squares ambiguity decorrelation adjustment (LAMBDA). The result shows that the proposed algorithm is better than LAMBDA because of lesser resolving time, which approximately reduces 20% resolving time. Thus, the proposed algorithm adapts to the high dynamic real-time applications. View full abstract»

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  • Multi-component LFM signal detection and parameter estimation based on Radon-HHT

    Page(s): 1097 - 1101
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (229 KB)  

    A new method is proposed to analyze multi-component linear frequency modulated (LFM) signals, which eliminates cross terms in conventional Wigner-Ville distribution (WVD). The approach is based on Radon transform and Hilbert-Huang transform (HHT), which is a recently developed method adaptive to non-linear and non-stationary signals. The complicated signal is decomposed into several intrinsic mode functions (IMF) by the empirical mode decomposition (EMD), which makes the consequent instantaneous frequency meaningful. After the instantaneous frequency and Hilbert spectrum are computed, multi-component LFM signals detection and parameter estimation are obtained using Radon transform on the Hilbert spectrum plane. The simulation results show its feasibility and effectiveness. View full abstract»

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  • New HB-weighted time delay estimation algorithm under impulsive noise environment

    Page(s): 1102 - 1108
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (273 KB)  

    The traditional HB-weighted time-delay estimation (TDE) method degenerates under the impulsive noise environment. Two new time-delay estimation methods are proposed based on fractional lower order statistics (FLOS) according to the impulsive characteristics of fractional lower order α-stable noises. Theoretic analysis and computer simulations indicate that the proposed covariation based HB weighted (COV-HB) algorithm can suppress impulsive noises in one received signal for 1 ≤ α ≤ 2, whereas the other proposed fractional lower order covariance-based HB weighted (FLOC-HB) algorithm has robust performance under arbitrary impulsive noise conditions for the whole range of 0 < α ≤ 2. View full abstract»

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  • Bayesian integer frequency offset estimator for MIMO-OFDM systems

    Page(s): 1109 - 1114
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (266 KB)  

    Carrier frequency offset (CFO) in MIMO-OFDM systems can be decoupled into two parts: fraction frequency offset (FFO) and integer frequency offset (IFO). The problem of IFO estimation is addressed and a new IFO estimator based on the Bayesian philosophy is proposed. Also, it is shown that the Bayesian IFO estimator is optimal among all the IFO estimators. Furthermore, the Bayesian estimator can take advantage of oversampling so that better performance can be obtained. Finally, numerical results show the optimality of the Bayesian estimator and validate the theoretical analysis. View full abstract»

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  • Multi-view video color correction using dynamic programming

    Page(s): 1115 - 1120
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (418 KB)  

    Color inconsistency between views is an important problem to be solved in multi-view video systems. A multi-view video color correction method using dynamic programming is proposed. Three-dimensional histograms are constructed with sequential conditional probability in HSI color space. Then, dynamic programming is used to seek the best color mapping relation with the minimum cost path between target image histogram and source image histogram. Finally, video tracking technique is performed to correct multi-view video. Experimental results show that the proposed method can obtain better subjective and objective performance in color correction. View full abstract»

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  • Polarimetric whitening filter for POLSAR image based on subspace decomposition

    Page(s): 1121 - 1126
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (353 KB)  

    Speckle filtering is an indispensable pre-processing step for applications of polarimetric synthetic aperture radar (POLSAR), such as terrain classification, target detection, etc. As one of the most typical methods, the polarimetric whitening filter (PWF) can be used to produce a minimum-speckle image by combining the complex elements of the scattering matrix, but polarimetric information is lost after the filtering process. A polarimetric filter based on subspace decomposition which was proposed by Gu et al specializes in retrieving principle scattering characteristics, but the corresponding mean value of an image after filtering is not kept well. A new filter is proposed for improving the disadvantage based on subspace decomposition. Under the constraint that a weighted combination of the polarimetric SAR images equals to the output of the PWF, the Euclidean distance between an unfiltered parameter vector and a signal space vector is minimized so that noises can be reduced. It is also shown that the proposed method is equivalent to the subspace filter in the case of no constraint. Experimental results with the NASA/JPL airborne polarimetric SAR data demonstrate the effectiveness of the proposed method. View full abstract»

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  • Posterior Cramer-Rao lower bounds for multitarget bearings-only tracking

    Page(s): 1127 - 1132
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (279 KB)  

    Usually, only the Cramer-Rao lower bound (CRLB) of single target is taken into consideration in the state estimate of passive tracking systems. As for the case of multitarget, there are few works done due to its complexity. The recursion formula of the posterior Cramer-Rao lower bound (PCRLB) in multitarget bearings-only tracking with the three kinds of data association is presented. Meanwhile, computer simulation is carried out for data association. The final result shows that the accuracy probability of data association has an important impact on the PCRLB. View full abstract»

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  • Co-aperture arrangement of dual antennas for orientation and telemetry in a conformal cavity

    Page(s): 1133 - 1138
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (374 KB)  

    The feasibility of making two antennas work within a shared aperture conformal to a platform like an aircraft or a missile is investigated. The shared aperture is enclosed by a deep cavity, which is covered by a columniform dielectric radome. A modified quadrifilar helix antenna (QHA) with extended volute arms and a vertical monopole with a ring shaped ground are arranged in this co-aperture for global position system (GPS) orientation and telemetry, respectively. The effects of the cavity on these two antennas and the mutual coupling between these two antennas are studied through large numbers of experiments. The results show that the QHA has a strong influence on the monopole; however, these two antennas of the overall arrangement can perform simultaneously well within the aperture. The QHA has a right hand circular polarization (RHCP) and a broad beam normal to the radome topside, meanwhile the monopole can be used to produce a main lobe in the grazing direction above the aperture in some certain cases of the vertical location of the QHA in the cavity. View full abstract»

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  • Efficient combination rule of Dezert-Smarandache theory

    Page(s): 1139 - 1144
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (223 KB)  

    The Dezert-Smarandache theory (DSmT) is a useful method for dealing with uncertainty problems. It is more efficient in combining conflicting evidence. Therefore, it has been successfully applied in data fusion and object recognition. However, there exist shortcomings in its combination rule. An efficient combination rule is presented, that is, the evidence's conflicting probability is distributed to every proposition based on remaining the focal elements of conflict. Experiments show that the new combination rule improves the reliability and rationality of the combination results. Although evidences conflict another one highly, good combination results are also obtained. View full abstract»

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  • Research on consistency measurement and weight estimation approach of hybrid uncertain comparison matrix

    Page(s): 1145 - 1150
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (209 KB)  

    The consistency measurement and weight estimation approach of the hybrid uncertain comparison matrix in the analytic hierarchy process (AHP) are studied. First, the decision-making satisfaction membership function is defined based on the decision making's allowable error. Then, the weight model based on the maximal satisfactory consistency idea is suggested, and the consistency index is put forward. Moreover, the weight distributing value model is developed to solve the decision making misleading problem since the multioptimization solutions in the former model. Finally, the weights are ranked based on the possibility degree approach to obtain the ultimate order. View full abstract»

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  • Design and operation strategies of the system for destroying time-sensitive target based on system effectiveness

    Page(s): 1151 - 1156
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (314 KB)  

    To improve the effect of destroying time-sensitive target (TST), a method of operational effectiveness evaluation is presented and some influential factors are analyzed based on the combat flow of system for destroying TST. Considering the possible operation modes of the system, a waved operation mode and a continuous operation mode are put forward at first. At the same time, some relative formulas are modified. In examples, the influential factors and operation modes are analyzed based on the system effectiveness. From simulation results, some design and operation strategies of the system for destroying time sensitive targets are concluded, which benefit to the improvement of the system effectiveness. View full abstract»

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  • Exponential distribution-based genetic algorithm for solving mixed-integer bilevel programming problems

    Page(s): 1157 - 1164
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (319 KB)  

    Two classes of mixed-integer nonlinear bilevel programming problems are discussed. One is that the follower's functions are separable with respect to the follower's variables, and the other is that the follower's functions are convex if the follower's variables are not restricted to integers. A genetic algorithm based on an exponential distribution is proposed for the aforementioned problems. First, for each fixed leader's variable x, it is proved that the optimal solution y of the follower's mixed-integer programming can be obtained by solving associated relaxed problems, and according to the convexity of the functions involved, a simplified branch and bound approach is given to solve the follower's programming for the second class of problems. Furthermore, based on an exponential distribution with a parameter A, a new crossover operator is designed in which the best individuals are used to generate better offspring of crossover. The simulation results illustrate that the proposed algorithm is efficient and robust. View full abstract»

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  • Product design on the basis of fuzzy quality function deployment

    Page(s): 1165 - 1170
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (265 KB)  

    In the implementation of quality function deployment (QFD), the determination of the target values of engineering characteristics is a complex decision process with multiple variables and multiple objectives that should trade off, and optimize all kinds of conflicts and constraints. A fuzzy linear programming model (FLP) is proposed. On the basis of the inherent fuzziness of QFD system, triangular fuzzy numbers are used to represent all the relationships and correlations, and then, the functional relationships between the customer needs and engineering characteristics and the functional correlations among the engineering characteristics are determined with the information in the house of quality (HoQ) fully used. The fuzzy linear programming (FLP) model aims to find the optimal target values of the engineering characteristics to maximize the customer satisfaction. Finally, the proposed method is illustrated by a numerical example. View full abstract»

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  • S-rough sets and the discovery of F-hiding knowledge

    Page(s): 1171 - 1177
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (322 KB)  

    Singular rough sets (S-rough sets) have three classes of forms: one-directional S-rough sets, dual of one-directional S-rough sets, and two-directional S-rough sets. Dynamic, hereditary, mnemonic, and hiding properties are the basic characteristics of S-rough sets. By using the S-rough sets, the concepts of f-hiding knowledge, F-hiding knowledge, hiding degree, and hiding dependence degree are given. Then, both the hiding theorem and the hiding dependence theorem of hiding knowledge are proposed. Finally, an application of hiding knowledge is discussed. View full abstract»

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  • Global stabilizing controller design for linear time-varying systems and its application on BTT missiles

    Page(s): 1178 - 1184
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (253 KB)  

    A parametric method for the gain-scheduled controller design of a linear time-varying system is given. According to the proposed scheduling method, the performance between adjacent characteristic points is preserved by the invariant eigenvalues and the gradually varying eigenvectors. A sufficient stability criterion is given by constructing a series of Lyapunov functions based on the selected discrete characteristic points. An important contribution is that it provides a simple and feasible approach for the design of gain-scheduled controllers for linear time-varying systems, which can guarantee both the global stability and the desired closed-loop performance of the resulted system. The method is applied to the design of a BTT missile autopilot and the simulation results show that the method is superior to the traditional one in sense of either global stability or system performance. View full abstract»

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  • Graphic theory on interval stability of networked control systems

    Page(s): 1185 - 1190
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (290 KB)  

    A new method on the interval stability of networked control systems (NCSs) with random delay and data packet dropout is studied. Combining interval systems and NCSs, a graphic condition on judging interval stability is presented in terms of the weighted diagraph theory in graph theory. Furthermore, utilizing the graph-theoretic algorithm, the delay-depended controller gains are obtained. Aiming at the same delay and data packed dropout, several controller gains are obtained, simultaneously. The example and simulation illustrate the effectiveness of the proposed method. View full abstract»

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  • Delay-dependent robust H control of convex polyhedral uncertain fuzzy systems

    Page(s): 1191 - 1198
    Save to Project icon | Click to expandQuick Abstract | PDF file iconPDF (349 KB)  

    The robust H control problem for a class of uncertain Takagi-Sugeno fuzzy systems with time-varying state delays is studied. The uncertain parameters are supposed to reside in a polytope. Based on the delay-dependent Lyapunov functional method, a new delay-dependent robust H fuzzy controller, which depends on the size of the delays and the derivative of the delays, is presented in term of linear matrix inequalities (LMIs). For all admissible uncertainties and delays, the controller guarantees not only the asymptotic stability of the system but also the prescribed H attenuation level. In addition, the effectiveness of the proposed design method is demonstrated by a numerical example. 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