supported by the National Natural Science Foundation of China(61472324;61540028)
This paper combines compressed sensing (CS) imaging theory and range migration algorithm (RMA), and then proposes a near-field three-dimensional (3-D) imaging approach for joint high-resolution imaging and phase error...
supported by the National Natural Science Foundation(61302148)
The inverse synthetic aperture radar (ISAR) imaging can be converted into a sparse reconstruction problem and solved by the l1norm minimization algorithm. The basis matrix in sparse ISAR imaging is usually characteriz...
supported by the Research Fund for the Doctoral Program of Higher Education of China(20120032110034)
The l2, 1-norm regularization can efficiently recover group-sparse signals whose non-zero coefficients occur in a few groups. It is well known that the l2, 1-norm regularization based on the classic alternating direct...
supported by the National Natural Science Foundation of China(61471313;61571388);the Natural Science Foundation of Hebei Province(F2016203251)
Due to the influence of the platform random motion and electromagnetic propagation in turbulent media, the synthetic aperture radar (SAR) high resolution imaging for the sea scenes where there are large amounts of wat...
supported by the National Natural Science Foundation of China(61171180);the Fundamental Research Funds for the Cen tral Universities(HIT.MKSTISP.2016 13;HIT.MKSTISP.2016 26)
With a small number of snapshots, performances of uniform circular array (UCA) root-MUSIC based methods for directionof- arrival (DOA) estimation suffer serious degradation, because the beamspace sample covariance mat...
This project was supported by National High Technology Development Program of China (863 - 512 - 9935 - 02) ; National Natural Science Foundation of China(69889501); Research Project of Robotics Lab. , the Chinese Academy of Science of Shenyang (RL1999
This paper is focused on the fully distibuted cooperative motion of group robots and proposes an approach. Each robots has a local sensing ability and a simple action selection strategy. Computational complexity is de...
This project was supported by the National Natural Science Foundation (No. 69831020).
A scheme for general purposed FDTD visual scientific computing software is introduced in this paper using object-oriented design (OOD) method. By abstracting the parameters of FDTD grids to an individual class and sep...
In this paper, the matrix algebraic equations involved in the optimal control problem of time-invariant linear Ito stochastic systems, named Riccati- Ito equations in the paper, are investigated. The necessary and suf...
In this paper, the exact Bayesian limits, taking conjugate and noninformative prior distribution, and the exact fiducial limits for the mean of the lognormal distribution are presented. They can be found iteratively b...
This paper is devoted to study the multiobjective system programming under the assumption that some of the problem parameters are random variables. A method called Interactive Reference Goal Satisfied Degree and Feasi...