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New optimal algorithm of data association for multi-passive-sensor location system

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Science in China(Series F) 2007年第4期50卷 600-608页

作者： ZHOU Li he you ZHANG WeiHua School of Management Ludong University Yantai 264025 China Research Institute of Information Fusion Naval Aeronautical Engineering Institute Yantai 264001 China Property and Logistic Management Ludong University Yantai 264025 China

In dense target and false detection scenario of four time difference of arrival （TDOA） for multi-passive-sensor location system, the global optimal data association algorithm has to be adopted. In view of the heavy calculation burden of the traditional optimal assignment algorithm, this paper proposes a new global optimal assignment algorithm and a 2-stage association algorithm based on a statistic test. Compared with the traditional optimal algorithm, the new optimal algorithm avoids the complicated operations for finding the target position before we calculate association cost; hence, much of the procedure time is saved. In the 2-stage association algorithm, a large number of false location points are eliminated from candidate associations in advance. Therefore, the operation is further decreased, and the correct data association probability is improved in varying degrees. Both the complexity analyses and simulation results can verify the effectiveness of the new algorithms.

关键词： optimal assignment algorithm data association 2-stage association algorithm multi-passive-sensor location system distance difference of arrival (DDOA)

Fast Algorithm for Maneuvering Target Detection in SAR Imagery Based on Gridding and Fusion of Texture Features

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Geo-Spatial Information Science 2011年第3期14卷 169-176页

作者： YUAN Zhan he you CAI Fuqing Research Institute of Information Fusion Technology Naval Aeronautical and Astronautical University 128 Erma Road Yantai264001 China

Designing detection algorithms with high efficiency for Synthetic Aperture Radar(SAR) imagery is essential for the operator SAR Automatic Target Recognition(ATR) *** work abandons the detection strategy of visiting every pixel in SAR imagery as done in many traditional detection algorithms,and introduces the gridding and fusion idea of different texture fea-tures to realize fast target *** first grids the original SAR imagery,yielding a set of grids to be classified into clutter grids and target grids,and then calculates the texture features in each *** fusing the calculation results,the target grids containing potential maneuvering targets are *** dual threshold segmentation technique is imposed on target grids to obtain the regions of *** fused texture features,including local statistics features and Gray-Level Co-occurrence Matrix(GLCM),are *** efficiency and superiority of our proposed algorithm were tested and verified by comparing with existing fast de-tection algorithms using real SAR *** results obtained from the experiments indicate the promising practical application val-ue of our study.

关键词： synthetic aperture radar imagery target detection texture feature gridding gray-level co-occurrence matrix fusion

High resolution radar target adaptive detector and performance assessment

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Journal of Systems Engineering and Electronics 2011年第2期22卷 212-218页

作者： Tao Jian you he Feng Su Changwen Qu Dianfa Ping Research Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 P. R. China

The high resolution radar target detection is addressed in the non-Gaussian clutter. An adaptive detector is derived for range-spread target based on a novel covariance matrix estimator. It is proved that the new detector is constant false alarm rate （CFAR） to both of the clutter covariance matrix structure and power level theoretically for match cases. The simulation results show that the new detector is almost CFAR for mismatch cases, and it outperforms the existing adaptive detector based on the sample covariance matrix. It also shows that the detection performance improves, as the number of pulses, the number of secondary data or the clutter spike increases. In addition, the derived detector is robust to different subsets, estimated clutter group sizes and correlations of clutter. Importantly, the number of iterations for practical application is just one.

关键词： non-Gaussian clutter adaptive detection range-spread target performance assessment.

Measuring Conflict Functions in Generalized Power Space

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Chinese Journal of Aeronautics 2011年第1期24卷 65-73页

作者： HU Lifang GUAN Xin DENG Yong HAN Deqiang he you Research Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 China Sche Institute of Electronic Science and Engineering National University of Defense Technology Changsha 410073 China School of Electronics and Information Technology Shanghai Jiaotong University Shanghai 200240 China Institute of Integrated Automation Xi 'an Jiaotong University Xi 'an 710049 China

One of the most important open issues is that the classical conflict coefficient in D-S evidence theory （DST） cannot correctly determine the conflict degree between two pieces of evidence. This drawback greatly limits the use of DST in real application systems. Early researches mainly focused on the improvement of Dempster’s rule of combination （DRC）. However, the current research shows it is very important to define new conflict coefficients to determine the conflict degree between two or more pieces of evidence. The evidential sources of information are considered in this work and the definition of a conflict measure function （CMF） is proposed for selecting some useful CMFs in the next fusion work when sources are available at each instant. Firstly, the definition and theorems of CMF are put forward. Secondly, some typical CMFs are extended and then new CMFs are put forward. Finally, experiments illustrate that the CMF based on Jousselme and its similar ones are the best suited ones.

关键词： D-S evidence theory conflict evidence generalized power space information fusion uncertainty

A New Probabilistic Transformation in Generalized Power Space

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Chinese Journal of Aeronautics 2011年第4期24卷 449-460页

作者： HU Lifang he you GUAN Xin DENG Yong HAN Deqiang Research Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 China Sche Institute of Electronic Science and Engineering National University of Defense Technology Changsha 410073 China School of Electronics and Information Technology Shanghai Jiao Tong University Shanghai 200240 China Institute of Integrated Automation Xi 'an Jiaotong University Xi'an 710049 China

The mapping from the belief to the probability domain is a controversial issue, whose original purpose is to make （hard） decision, but for contrariwise to erroneous widespread idea/claim, this is not the only interest for using such mappings nowadays. Actually the probabilistic transformations of belief mass assignments are very useful in modern multitarget multisensor tracking systems where one deals with soft decisions, especially when precise belief structures are not always available due to the existence of uncertainty in human being’s subjective judgments. Therefore, a new probabilistic transformation of interval-valued belief structure is put forward in the generalized power space, in order to build a subjective probability measure from any basic belief assignment defined on any model of the frame of discernment. Several examples are given to show how the new transformation works and we compare it to the main existing transformations proposed in the literature so far. Results are provided to illustrate the rationality and efficiency of this new proposed method making the decision problem simpler.

关键词： Dempster-Shafer theory generalized power space information fusion interval value uncertainty

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

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Journal of Systems Engineering and Electronics 2012年第3期23卷 355-363页

作者： Tao Jian you he Feng Su Dianfa Ping Xiaodong Huang Research Institute of Information Fusion Naval Aeronautical and Astronautical UniversityYantai 264001P.R.China

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. Se- condly, an integrating detector is devised to detect a range-spread target with dense scatterer density. Finally, to make the best of the advantages of M/K detector and integrating detector, a robust detector based on scatterer density （DBSD） is designed, which can reduce the probable collapsing loss or quantization error ef- fectively. Moreover, the density decision factor of DBSD is also determined. The formula of the false alarm probability is derived for DBSD. It is proved that the DBSD ensures a constant false alarm rate property. Furthermore, the computational results indi- cate that the DBSD is robust to different clutter one-lag correlations and target scatterer densities. It is also shown that the DBSD out- performs the existing scatterer-density-dependent detector.

关键词： non-Gaussian clutter range-spread target robust de- tection quantization error collapsing loss target scatterer.

New probabilistic transformation of imprecise belief structure

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Journal of Systems Engineering and Electronics 2011年第5期22卷 721-729页

作者： Lifang Hu you he Xin Guan Deqiang Han Yong Deng Research Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 E R. China Navy Armament Academy Beijing 102249 E R. China College of Electronic Science and Engineering National University of Defense Technology Changsha 410073 E R. China Institute of Integrated Automation Xi＇an Jiaotong University Xi＇an 710049 E R. China School of Electronics and Information Technology Shanghai Jiaotong University Shanghai 200240 E R. China

The case when the source of information provides precise belief function/mass, within the generalized power space, has been studied by many people. However, in many decision situations, the precise belief structure is not always available. In this case, an interval-valued belief degree rather than a precise one may be provided. So, the probabilistic transformation of imprecise belief function/mass in the generalized power space including Dezert-Smarandache （DSm） model from scalar transformation to sub-unitary interval transformation and, more generally, to any set of sub-unitary interval transformation is provided. Different from the existing probabilistic transformation algorithms that redistribute an ignorance mass to the singletons involved in that ignorance pro- portionally with respect to the precise belief function or probability function of singleton, the new algorithm provides an optimization idea to transform any type of imprecise belief assignment which may be represented by the union of several sub-unitary （half-） open intervals, （half-） closed intervals and/or sets of points belonging to [0,1]. Numerical examples are provided to illustrate the detailed implementation process of the new probabilistic transformation approach as well as its validity and wide applicability.

关键词： pignistic probability transformation generalized power space interval value information fusion uncertainty.

New conflict representation model in generalized power space

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Journal of Systems Engineering and Electronics 2012年第1期23卷 1-9页

作者： you he Lifang Hu Xin Guan Deqiang Han Yong Deng Research Institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 E R. China Navy Armament Academy Beijing 102249 P. R. China College of Electronic Science and Engineering National University of Defense Technology Changsha 410073 E R. China Institute of Integrated Automation Xi＇an Jiaotong University Xi＇an 710049 E R. China School of Electronics and Information Technology Shanghai Jiaotong University Shanghai 200240 E R. China

The study on alternative combination rules in Dempster- Shafer theory （DST） when evidences are in conflict has emerged again recently as an interesting topic, especially in data/information fusion applications. The earlier researches have mainly focused on investigating the alternative which would be appropriate for the conflicting situation, under the assumption that a conflict is identified. However, the current research shows that not only the combination rule but also the classical conflict coefficient in DST are not correct to determine the conflict degree between two pieces of evidences. Most existing methods of measuring conflict do not consider the open world situation, whose frame of discernment is incomplete. To solve this problem, a new conflict representa- tion model to determine the conflict degree between evidences is proposed in the generalized power space, which contains two parameters： the conflict distance and the conflict coefficient of inconsistent evidences. This paper argues that only when the con- flict measure value in the new representation model is high, it is safe to say the evidences are in conflict. Experiments illustrate the efficiency of the proposed conflict representation model.

关键词： Dezert-Smarandache theory (DSmT) conflict evidence Dempster rule of combination information fusion.

DOUBLE-PARAMETER PERTURBATION SOLUTION TO 3-D NONLINEAR PROBLEM OF OBLIQUE WATER EXIT

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Journal of Hydrodynamics 1991年第4期3卷 96-103页

作者： Qu-yuan, Ye you-sheng, he Shanghai Jiao Tong Univ Shanghai China

With a new time-derivative operator, the nonlinear kinematic and dynamic free boundary conditions were modified to a convenient form for numerical computation. The original 3-D nonlinear problem of oblique water exit of an axisymmetric body at a large water exit-angle and a small angle of attack is reduced to a number of 2-D problems by means of the double-parameter-series expansion method and the Fourier-cosine-expansion method. Numerical results are presented of the free surface shapes and the forces exerted during the oblique water exit of a sphere at different Froude numbers.

关键词： Flow of Water Mathematical Models Mathematical Techniques Nonlinear Equations Mathematical Techniques Perturbation Techniques