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系统仿真学报 2002年第4期14卷 536-538页

作者：韩兆福陈钧海军航空工程学院青岛分院航空军械系

对作战人员进行攻击不同目标的训练,传统的方法是靠实装进行,技术含量低,不能满足现代战争的需要。为提高部队的作战效能,采用虚拟现实(VR)技术,研制了机载火控系统模拟训练装置,为作战人员进行针对性的科学训练提供了方便。

关键词：虚拟现实机载火控系统模拟训练装置计算机仿真

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传感器管理的结构与微观传感器管理仿真

系统工程与电子技术 2004年第11期26卷 1581-1584页

作者：杨秀珍何友鞠传文海军航空工程学院信息融合技术研究所山东烟台264001 海军航空工程学院军械工程系山东烟台264001

传感器管理系统是信息融合系统的重要组成部分,是提高信息融合系统总体性能的保障。在给出传感器管理基本概念的基础上,讨论了传感器管理技术的难点与传感器管理的微观/宏观结构。利用一光电传感器模型对微观层的传感器管理———传感... 详细信息

传感器管理系统是信息融合系统的重要组成部分,是提高信息融合系统总体性能的保障。在给出传感器管理基本概念的基础上,讨论了传感器管理技术的难点与传感器管理的微观/宏观结构。利用一光电传感器模型对微观层的传感器管理———传感器控制进行了仿真研究,并讨论了传感器的控制原则。仿真结果表明,微观层的传感器管理可以使传感器对机动目标的跟踪精度得到明显改善。

关键词：传感器管理微观传感器传感器控制资源分配

Fog-degraded Image Enhancement Based on Wavelet Transform

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Fog-degraded Image Enhancement Based on Wavelet Transform

A Practical Method of Texture Segmentation and Transformation for Radar Image Simulation

2011 3.d IEEE International Conference on Information Management and engineering(ICIME 2011)

作者： Xu Yanfeng College of Information engineering qingdao University qingdao {3. Zhao Zhigang College of Information engineering qingdao University qingdao {3. Yun Maojin College of Physics Science qingdao University qingdao {3.

Because fog-degraded images captured in fog suffer from low contrast,it is important to enhance the low contrast images degraded by *** paper presents a method of wavelet image enhancement based on semi-soft *** method has not only good detail enhancement but also good de- noising *** results show that this method can enhance the contrast of fog-degraded image well.

关键词： wavelet transform image enhancement fog- degraded image semi-soft threshold

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A Practical Method of Texture Segmentation and Transformatio...

New method for measuring the degree of conflict among general basic probability assignments

2012 IEEE International Conference on Computer Science and Automation engineering（CSAE 2012）

作者： Ai Zuliang Department of Electronics and Information engineering naval aeronautical engineering institute Yantai china Zhang Limin Department of Electronics and Information engineering naval aeronautical engineering institute Yantai china Zhang Jianting Department of Electronics and Information engineering naval aeronautical engineering institute Yantai china

It is very important to acquire the material information from the terrain texture for radar image simulation based on digital terrain. This is traditionally done manually in a special terrain-oriented method. The method faces the problems of bad generalization, great complexity, low efficiency and poor accuracy. This paper proposes a new method of terrain texture segmentation and transformation based on the image segmentation theory. Firstly the terrain texture is segmented with a method based on the color space clustering to get the regional gray level image. Then all regions are processed to generate the corresponding binary images, and at the same time an 8-connected region template is constructed to track and build the edges of these regions automatically. Finally the semiautomatic material marking of these regions with the terrain material database for radar realizes the transformation from the terrain texture to the material information. This method effectively deals with the problem of processing the large-scale terrain texture.

关键词： radar image simulation texture segmentation color space gray level image material database

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Science china(Information Sciences) 2012年第2期55卷 312-321页

作者： HE You1,HU LiFang1,2,GUAN Xin1,3.DENG Yong4 & HAN DeQiang5 1Research institute of Information Fusion,naval aeronautical and Astronautical University,Yantai 264001,{3. 2Navy Armament Academy,Beijing 102249,{3. 3.he institute of Electronic Science and engineering,National University of Defense Technology,Changsha 410073.{3. 4School of Electronics and Information Technology,Shanghai Jiao Tong University,Shanghai 200240,{3. 5institute of Integrated Automation,Xi'an Jiaotong University,Xi'an 710049,{3. 1. Research institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 China2. Navy Armament Academy Beijing 102249 China3. The Institute of Electronic Science and Engineering National University of Defense Technology Changsha 410073 China4. School of Electronics and Information Technology Shanghai Jiao Tong University Shanghai 200240 China5. Institute of Integrated Automation Xi’an Jiaotong University Xi’an 710049 China

There is doubt about Dempster's rule of combination because of counter-intuitive results when dealing with conflict information in intelligent ***,many modified combination rules have been presented in the literature on multi-source information fusion and reasoning with ***,the issue of identifying conflict among evidence has been ignored.A new parameter measuring conflict evidence called the conflict distance parameter is defined to determine whether there are conflicts in evidence based on the analysis of existing conflict *** the same time,a decisive rule,which a reasonable conflict measure function should satisfy,is put ***,an analysis of two typical counter-intuitive situations is given,showing that the new parameter can not only satisfy the decisive rule,but can also attain the same effect as a two-dimensional measure when deciding whether to use the Dempster's rule of combination,and can exceed its effect when deciding whether to use Dezert-Smarandache theory.

关键词： conflict evidence Dezert-Smarandache theory Dempster’s rule of combination information fusion uncertainty

Optimal allocation of multi-sensor passive localization

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Science china(Information Sciences) 2010年第12期53卷 2514-2526页

作者： WANG BenCai 1,2,HE You 1,WANG GuoHong 1 & XIU JianJuan 1 1 institute of Information Fusion,naval aeronautical and Astronautical University,Yantai 264001,{3. 2 Unit 93.86,PLA,Shenyang 110141,{3. 1. institute of Information Fusion Naval Aeronautical and Astronautical University Yantai 264001 China2. Unit 93286 PLA Shenyang 110141 China

To improve multi-sensor passive localization precision,the optimal allocation form of multi-sensor bearing-only localization is analyzed from the perspective of the geometric dilution of precision(GDOP) of the least squares(LS) *** paper indicates that whether the target lies inside the closed region formed by the sensors or not,the optimal allocation is when each adjacent cut angle between a sensor pair is identical,and all sensors are located on the border of the circle that has the target(which is also the origin of the coordinate system) as its *** there is no restriction on the adjacent cut angle in the above allocation,the optimal estimate of the LS algorithm in the sense of minimum variance can be *** the LS algorithm achieves the optimal estimate and the sensors present the optimal allocation,the respective consistencies are *** results verify the analysis of the optimal allocation form above,which can be used in multi-sensor passive localization algorithms based on sensor management.

关键词： multi-sensor passive localization optimal allocation geometric dilution of precision cut angle consistency optimal estimate

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航空四站综合保障能力的灰色评估

数据采集与处理 2010年第S1期25卷 207-210页

作者：范红军杨中书陈友龙王春健海军航空工程学院青岛分院青岛266041 海军航技部北京100071 海军潜艇学院青岛266071

针对影响四站保障能力因素复杂和评估时人为因素大的特点,建立了四站综合保障能力评价指标体系。结合层次分析与灰色理论,,提出了四站综合保障能力的灰色评价模型,实例计算证明,灰色评估法能有效降低人为因素的影响,评价结果客观性较强。

关键词：灰色评价综合保障能力航空四站

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集中式多雷达系统维数不匹配处理技术

系统仿真学报 2003年第6期15卷 845-848页

作者：熊伟何友海军航空工程学院信息融合技术研究所

在集中式多雷达跟踪系统中,经常存在雷达的观测信息维数不一致的情况。为了能正确对所有雷达观测数据进行融合,系统需要首先对维数不匹配的观测数据进行处理。目前,通常采用降维的方法处理数据维数不匹配问题。由于在降维处理过程中,需... 详细信息

在集中式多雷达跟踪系统中,经常存在雷达的观测信息维数不一致的情况。为了能正确对所有雷达观测数据进行融合,系统需要首先对维数不匹配的观测数据进行处理。目前,通常采用降维的方法处理数据维数不匹配问题。由于在降维处理过程中,需要丢失目标的高度信息,因此,系统会产生一定的动态误差。当目标的俯仰角度比较大时,系统的跟踪精度必然会下降。针对降维方法的缺点,本文采用升维的方法对数据维数不匹配进行处理,并对这两种方法在不同情况下的跟踪精度进行了仿真分析。

关键词：信息融合多雷达数据压缩数据维数

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仿真应用中数据获取与管理的途径分析

计算机工程 2001年第8期27卷 81-82,115页

作者：陈景亮江龙平姜玉章孙忠云海军航空工程学院青岛分院基础部青岛266041 海军航空工程学院青岛分院航空机械系青岛266041

结合仿真应用中数据获取与管理的目的和特点，提出了在软件开发中采用基于数据库技术的通用数据源进行仿真应用软件设计的思想，从理论上论述了其必然性，并从应用出发，分析了通用数据源的选择及设计情况。

关键词：仿真数据获取数据管理通用数据源数据处理软件开发

Image Compression Based on WHITE-BLACK Transform

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Image Compression Based on WHITE-BLACK Transform