Browsing by Author "Vo Ba-Ngu"

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Browsing by Author "Vo Ba-Ngu"

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  • Beam Pattern Synthesis For Large Symmetric Arrays With Bounds On Sidelobe And Mainlobe Levels 
    Hoang Hung; Hoang Tuan; Vo Ba-Ngu; Kha H (IEEE, 2005)
    Bounding the sidelobe and mainlobe levels of a symmetric antenna array with complex weights can be posed as semi-infinite trigonometric constraints. Standard optimization techniques can be used to convert the semi-infinite ...
  • Closed Form PHD Filtering For Linear Jump Markov Models 
    Pasha Syed; Vo Ba-Ngu; Hoang Tuan; Ma Wing-Kin (IEEE, 2006)
    In recent years there has been much interest in the probability hypothesis density (PHD) filtering approach, an attractive alternative to tracking unknown numbers of targets and their states in the presence of data association ...
  • Efficient large-scale Filter/Filterbank design via LMI characterization of trigonometric curves 
    Hoang Tuan; Son T; Vo Ba-Ngu; Nguyen Tuan (IEEE-Inst Electrical Electronics Engineers Inc, 2007)
    Many filter and filterbank design problems can be posed as the optimization of linear or convex quadratic objectives over trigonometric semi-infinite constraints. Recent advances in design methodology are based on various ...
  • Entropy Of General Gaussian Distributions And Mimo Channel Capacity Maximizing Precoder And Decoder 
    Hoang Tuan; Pham Duong; Vo Ba-Ngu; Nguyen Tuan (IEEE, 2007)
    Exploiting channel state information at the transmitter and receiver to design an optimal linear precoder and decoder for a multiple-input multiple-output (MIMO) communication system is an active research area. The design ...
  • A Gaussian Mixture PHD Filter for Jump Markov System Models 
    Pasha Syed; Vo Ba-Ngu; Hoang Tuan; Ma Wing-Kin (IEEE-Inst Electrical Electronics Engineers Inc, 2009)
    The probability hypothesis density (PHD) filter is an attractive approach to tracking an unknown and time-varying number of targets in the presence of data association uncertainty, clutter, noise, and detection uncertainty. ...
  • Jointly Optimal Precoding/Postcoding For Colored MIMO Systems 
    Pham Duong; Hoang Tuan; Vo Ba-Ngu; Nguyen Tuan (IEEE, 2006)
    The problem of designing a jointly optimal linear precoder and decoder for a multiple-input multiple-output (MIMO) channel has received much interest recently. However, most existing works only deal with white input signal. ...
  • Large Array Beamforming Via Semidefinite Programming 
    Hoang Hung; Hoang Tuan; Vo Ba-Ngu (IEEE, 2006)
    Bounding the sidelobe and mainlobe levels of an array with complex weights is attractive in that it allows direct control of the radiation pattern. In this paper we propose an efficient beamforming technique for synthesizing ...
  • LMI Characterization For The Convex Hull Of Trigonometric Curves And Applications 
    Hoang Tuan; Son T; Vo Ba-Ngu; Nguyen Tuan (IEEE, 2005)
    In this paper, we develop a new linear matrix inequality (LW technique, which is practical for solutions of the general trigonometric semi-infinite linear constraint (TSIC) of competitive orders. Based on the new full LMI ...
  • Low-dimensional SDP formulation for large antenna array synthesis 
    Hoang Hung; Hoang Tuan; Vo Ba-Ngu (IEEE-Inst Electrical Electronics Engineers Inc, 2007)
    Bounding the sidelobe and mainlobe levels of an array with complex weights is attractive in that it allows direct control of the radiation pattern. In this paper we propose an efficient beamforming technique for synthesizing ...
  • Mask Constrained Beam Pattern Synthesis For Large Arrays 
    Hoang Hung; Vo Ba-Ngu; Hoang Tuan; Son T (IEEE, 2005)
    Antenna array pattern synthesis with mask constraints can be formulated as a convex optimization problem with semi-infinite trigonometric polynomial constraints. The current approach uses a Linear Matrix Inequality (LMI) ...
  • Nonlinear Bayesian Filtering Using the Unscented Linear Fractional Transformation Model 
    Pasha Syed; Hoang Tuan; Vo Ba-Ngu (IEEE-Inst Electrical Electronics Engineers Inc, 2010)
    For nonlinear state space model involving random variables with arbitrary probability distributions, the state estimation given a sequence of observations is based on an appropriate criterion such as the minimum mean square ...
  • SDP For 2-D Filter Design: General Formulation And Dimension Reduction Techniques 
    Hung T; Hoang Tuan; Vo Ba-Ngu; Nguyen Tuan (IEEE, 2006)
    In this paper, a new technique for designing linear phase 2-D filter based on semi-definite programming (SDP) is proposed. This approach allows the design of 2-D filters with accurate cut-off frequency, subject to hard ...
  • Symmetric orthogonal complex-valued filter bank design by semidefinite programming 
    Kha H; Hoang Tuan; Vo Ba-Ngu; Nguyen Tuan (IEEE-Inst Electrical Electronics Engineers Inc, 2007)
    A new design method for complex-valued two-channel finite impulse response (FIR) filter banks with both orthogonality and symmetry properties is developed. Based on a novel linear matrix inequality (LMI) characterization ...
  • Symmetric Orthogonal Complex-Valued Filter Bank Design By Semidefinite Programming 
    Kha H; Hoang Tuan; Vo Ba-Ngu; Nguyen Tuan (IEEE, 2006)
    A new design method for complex-valued two-channel FIR filter banks with both orthogonality and symmetry properties is developed. Based on a novel linear matrix inequality (LMI) characterization of trigonometric curves, ...