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This article presents an information theory based sensor management method to be used for aerospace multi-target collaborative detection and tracking. The proposed sensor management method follows an information theoretic approach, in which PCRLB is used to calculate the tracking accuracy of multi-target. The detection particles are employed to determine the detection probability of incoming targets...
In this paper, a new entropy based uncertainty measure is introduced for evaluating the significance of subsets of attributes in incomplete decision tables. Some properties of rough conditional entropy are derived. And three attribute reduction algorithms are provided, including an algorithm using exhaustive search, an algorithm using heuristic search and an algorithm using probabilistic search for...
This paper presents a novel adaptive compressed sensing based joint detection and tracking algorithm (ACS-JDT algorithm) for airborne radars with high resolution. By exploiting the sparsity of targets in the measurement space, the adaptive compressed sensing algorithm (ACS algorithm) reconstructs the whole radar scenario (direction of arrival (DOA)-Doppler plane) for each range gate during one scan...
Selecting the optimal parameters of the Support Vector Machines (SVM) is very important in practice. This paper detailedly analyzes the effects given by the Radial Basis Function (RBF) kernel parameter on the feature space, and proposes a novel kernel parameter evaluating method, which is based on the Inter-Class Mean Distance (ICMD). Theoretical and experimental analysis is made on the proposed method...
The paper propose a new algorithm based on NSCT in fusion for CT image and MR image. The low-frequents subbands and high-frequents subbands are get after NSCT. Gray value weighting is adopted in low-frequency image, and maximum module rule are adopted in high-frequents subbands. Experimental results compare with other method, and a set of quantitative evaluation criteria is given. Experimental results...
In this paper, a novel method, process noise identification based particle filter is proposed for tracking highly maneuvering target. In the proposed method, the equivalent-noise approach is adopted, which converts the problem of maneuvering target tracking to that of state estimation in the presence of non-stationary process noise with unknown statistics. A novel method for identifying the non-stationary...
The minor component (MC) is the eigenvector associated with the smallest eigenvalue of the correlation matrix of input data. In many information processing areas, it is important to online extract MC from high-dimensional input data stream. Usually, MCA learning algorithms are described by stochastic discrete time (SDT) systems and the convergence is analyzed via a corresponding DCT system, but some...
Utilizing the contourletpsilas advantages of multiscale, localization, directionality and anisotropy, a new method for multi-focus image fusion using wavelet based contourlet transform and region was proposed. In the contourlet transform, the Laplacian pyramid transform was replaced by the wavelet transform to obtain non-redundant wavelet-based contourlet transform. The source image is decomposed...
A novel mathematical morphology algorithm based on rough sets is given for edge detection of gray-scale image. According to geometrical feature of image, the structure element is selected automatically to image details matching. The experimental results show that the method is better than the classical edge detection. It is also better than traditional mathematical morphological used single structure...
In order to improve the particle degeneracy phenomenon of particle filter, a method for particle filtering based on unscented transformation was proposed. The spherical unscented Kalman filter was used to generate the important distribution for particle filter. The important distribution integrated the latest observation, so it can extend the overlaps of itself and posterior probability density and...
In multisensor tracking system, the center processor receives the out-of-sequence measurements (OOSMs) because of communication time delays. An improved particle filter for filtering out-of-sequence measurements with arbitrary lag was proposed. The interpolation filter is used to generate the proposal distribution for particle filter. The proposal distributions integrate the most current observation,...
This paper presents a fault-diagnosis method based on the approaches of phase space reconstruction and generalized frequency response functions (GFRF) for the complex electronic system. The system parameter-evolving induced nonstationary is treated as the studying object. The phase space reconstruction and Gamma-test algorithm are employed to convert the system observing data into the pseudo-input/output...
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