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Systems Engineering and Electronics, Journal of

Issue 3 • Date June 2012

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Displaying Results 1 - 23 of 23
  • [Front and back cover]

    Publication Year: 2012 , Page(s): c1 - c4
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    Freely Available from IEEE
  • [Front inside cover]

    Publication Year: 2012 , Page(s): c2
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    Freely Available from IEEE
  • Contents

    Publication Year: 2012 , Page(s): 1 - 2
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    Freely Available from IEEE
  • Dynamics in small worlds of tree topologies of wireless sensor networks

    Publication Year: 2012 , Page(s): 325 - 334
    Cited by:  Papers (2)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (943 KB)  

    Tree topologies, which construct spatial graphs with large characteristic path lengths and small clustering coefficients, are ubiquitous in deployments of wireless sensor networks. Small worlds are investigated in tree-based networks. Due to link additions, characteristic path lengths reduce rapidly and clustering coefficients increase greatly. A tree abstract, Cayley tree, is considered for the s... View full abstract»

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  • Construction of time-frequency codes based on protograph LDPC codes in OFDM communication systems

    Publication Year: 2012 , Page(s): 335 - 341
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1609 KB)  

    This paper proposes a scheme to construct time-frequency codes based on protograph low density parity check (LDPC) codes in orthogonal frequency division multiplexing (OFDM) communication systems. This approach synthesizes two techniques: protograph LDPC codes and OFDM. One symbol of encoded information by protograph LDPC codes corresponds to one sub-carrier, namely the length of encoded informati... View full abstract»

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  • DBS imaging based on Keystone transform

    Publication Year: 2012 , Page(s): 342 - 348
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (2748 KB)  

    To correct the range walk through resolution cell in Doppler beam sharpening (DBS) imaging, a new DBS imaging algorithm based on Keystone transform is proposed. Without the exact values of the movement parameters and the look angle of the radar platform in the multi-targets environment, a linear transform on the received data is employed to correct different range walk values accurately under the ... View full abstract»

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  • Mobile channel estimation for MU-MIMO systems using KL expansion based extrapolation

    Publication Year: 2012 , Page(s): 349 - 354
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (964 KB)  

    In multi-user multiple input multiple output (MU-MIMO) systems, the outdated channel state information at the transmitter caused by channel time variation has been shown to greatly reduce the achievable ergodic sum capacity. A simple yet effective solution to this problem is presented by designing a channel extrapolator relying on Karhunen-Loeve (KL) expansion of time-varying channels. In this sch... View full abstract»

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  • Robust detector for range-spread targets in non-Gaussian background

    Publication Year: 2012 , Page(s): 355 - 363
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1432 KB)  

    Based on the target scatterer density, the range-spread target detection of high-resolution radar is addressed in additive non-Gaussian clutter, which is modeled as a spherically invariant random vector. Firstly, for sparse scatterer density, the detection of target scatterer in each range cell is derived, and then an M/K detector is proposed to detect the whole range-spread target. Secondly, an i... View full abstract»

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  • Multiple-model Bayesian filtering with random finite set observation

    Publication Year: 2012 , Page(s): 364 - 371
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1463 KB)  

    The finite set statistics provides a mathematically rigorous single target Bayesian filter (STBF) for tracking a target that generates multiple measurements in a cluttered environment. However, the target maneuvers may lead to the degraded tracking performance and even track loss when using the STBF. The multiple-model technique has been generally considered as the mainstream approach to maneuveri... View full abstract»

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  • Simultaneous range and radial velocity estimation with a single narrowband LFM pulse

    Publication Year: 2012 , Page(s): 372 - 377
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1870 KB)  

    The mismatch effect induced by the radial motion of a target is analyzed for linear frequency modulated (LFM) signals. Then, a novel integrated processing scheme is proposed to resolve the delay-Doppler coupling effect in LFM pulse compression. Therefore the range and radial velocity of the target can be simultaneously estimated with a narrowband LFM pulse. Finally, numerical simulation results de... View full abstract»

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  • Compressive sensing for small moving space object detection in astronomical images

    Publication Year: 2012 , Page(s): 378 - 384
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1512 KB)  

    It is known that detecting small moving objects in astronomical image sequences is a significant research problem in space surveillance. The new theory, compressive sensing, provides a very easy and computationally cheap coding scheme for onboard astronomical remote sensing. An algorithm for small moving space object detection and localization is proposed. The algorithm determines the measurements... View full abstract»

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  • Performances of improved Tent chaos-based FM radar signal

    Publication Year: 2012 , Page(s): 385 - 391
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (6116 KB)  

    A novel algorithm is proposed to solve the poor performance problem of the Tent chaos-based frequency modulation (FM) signal for range-Doppler imaging, which takes it into complex multi-segment system by increasing its segments. The simulation results show that the effectiveness of the proposed algorithm, as well as the performance of the improved Tent FM signal is obvious in a multipath or noise ... View full abstract»

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  • Gravity-based heuristic for set covering problems and its application in fault diagnosis

    Publication Year: 2012 , Page(s): 391 - 398
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (555 KB)  

    A novel algorithm named randomized binary gravitational search (RBGS) algorithm is proposed for the set covering problem (SCP). It differs from previous SCP approaches because it does not work directly on the SCP matrix. In the proposed algorithm, the solution of SCP is viewed as multi-dimension position of objects in the binary search space. All objects in the space attract each other by the grav... View full abstract»

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  • Fuzzy data envelopment analysis approach based on sample decision making units

    Publication Year: 2012 , Page(s): 399 - 407
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (2509 KB)  

    The conventional data envelopment analysis (DEA) measures the relative efficiencies of a set of decision making units with exact values of inputs and outputs. In real-world problems, however, inputs and outputs typically have some levels of fuzziness. To analyze a decision making unit (DMU) with fuzzy input/output data, previous studies provided the fuzzy DEA model and proposed an associated evalu... View full abstract»

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  • Packet-loss-dependent stabilization of NCSs with network-induced delay and packet dropout

    Publication Year: 2012 , Page(s): 408 - 413
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (811 KB)  

    This paper is concerned with controller design of networked control systems (NCSs) with both network-induced delay and arbitrary packet dropout. By using a packet-loss-dependent Lyapunov function, sufficient conditions for state/output feedback stabilization and corresponding control laws are derived via a switched system approach. Different from the existing results, the proposed stabilizing cont... View full abstract»

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  • Impulsive controller design for nonlinear networked control systems with time delay and packet dropouts

    Publication Year: 2012 , Page(s): 414 - 418
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1306 KB)  

    The globally exponential stability of nonlinear impulsive networked control systems (NINCS) with time delay and packet dropouts is investigated. By applying Lyapunov function theory, sufficient conditions on the global exponential stability are derived by introducing a comparison system and estimating the corresponding Cauchy matrix. An impulsive controller is explicitly designed to achieve expone... View full abstract»

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  • Iterative learning based fault detection and estimation in nonlinear systems

    Publication Year: 2012 , Page(s): 419 - 424
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1287 KB)  

    Aiming at a class of nonlinear systems that contains faults, a novel iterative learning scheme is applied to fault detection, and a novel algorithm of fault detection and estimation is proposed. This algorithm first constructs residual signals by the output of the practical system and the output of the designed fault tracking estimator, and then uses the residuals and the difference-value signal o... View full abstract»

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  • Top-level modeling theory of multi-discipline virtual prototype

    Publication Year: 2012 , Page(s): 425 - 437
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (1778 KB)  

    Multi-disciplinary virtual prototypes of complex products are increasingly and widely used in modern advanced manufacturing. How to effectively address the problems of unified modeling, composition and reuse based on the multi-disciplinary heterogeneous models has brought great challenges to the modeling and simulation (M&S) science and technology. This paper presents a top-level modeling t... View full abstract»

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  • Improved adaptive pruning algorithm for least squares support vector regression

    Publication Year: 2012 , Page(s): 438 - 444
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (353 KB)  

    As the solutions of the least squares support vector regression machine (LS-SVRM) are not sparse, it leads to slow prediction speed and limits its applications. The defects of the existing adaptive pruning algorithm for LS-SVRM are that the training speed is slow, and the generalization performance is not satisfactory, especially for large scale problems. Hence an improved algorithm is proposed. I... View full abstract»

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  • Clustering algorithm based on density function and nichePSO

    Publication Year: 2012 , Page(s): 445 - 452
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (2040 KB)  

    This paper introduces niching particle swarm optimization (nichePSO) into clustering analysis and puts forward a clustering algorithm which uses nichePSO to optimize density functions. Firstly, this paper improves main swarm training models and increases their ability of space searching. Secondly, the radius of sub-swarms is defined adaptively according to the actual clustering problem, which can ... View full abstract»

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  • Spectral matching algorithm based on nonsubsampled contourlet transform and scale-invariant feature transform

    Publication Year: 2012 , Page(s): 453 - 459
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (12557 KB)  

    A new spectral matching algorithm is proposed by using nonsubsampled contourlet transform and scale-invariant feature transform. The nonsubsampled contourlet transform is used to decompose an image into a low frequency image and several high frequency images, and the scale-invariant feature transform is employed to extract feature points from the low frequency image. A proximity matrix is construc... View full abstract»

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  • Fuzzy smooth support vector machine with different smooth functions

    Publication Year: 2012 , Page(s): 460 - 466
    Cited by:  Papers (1)
    Save to Project icon | Click to expandAbstract | PDF file iconPDF (862 KB)  

    Smooth support vector machine (SSVM) changs the normal support vector machine (SVM) into the unconstrained optimization by using the smooth sigmoid function. The method can be solved under the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm and the Newdon-Armijio (NA) algorithm easily, however the accuracy of sigmoid function is not as good as that of polynomial smooth function. Furthermore, the... View full abstract»

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  • [Back inside cover]

    Publication Year: 2012 , Page(s): c3
    Save to Project icon | PDF file iconPDF (98 KB)  
    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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Meet Our Editors

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