An ECR-PCR rule for fusion of evidences defined on a non-exclusive framework of discernment

In the research of uncertain information processing, Dempster-Shafer Theory (DST) provides a framework for dealing with uncertain information, where evidence is defined on a Frame of Discernment (FOD) consisting of mutually exclusive elements. However, the requirement of exclusiveness on FOD sometimes is not satisfied, as shown in Dezert-Smarandache Theory(DSmT), a derivative of DST. In DSmT, the non-exclusiveness is expressed by propositions’ intersection and the fusion of evidence is realized through a Proportional Conflict Redistribution (PCR) rule. In order to handle non-exclusive FODs, a new framework called D Number Theory (DNT) has been proposed recently, which quantifies the non-exclusive degree between propositions different from DSmT. In previous studies, an Exclusive Conflict Redistribution (ECR) rule has been designed in DNT to implement the fusion of evidence defined on a non-exclusive FOD, but there are some deficiencies in the ECR rule. In this paper, a new rule called ECR-PCR rule is proposed by combining the ECR and PCR rules to better implement the fusion of evidence defined on a non-exclusive FOD. Within the proposed rule, the definition of conflict utilizes the idea of ECR’s exclusive conflict, and the disposal of conflict is following the idea of PCR’s proportional redistribution. Properties of the ECR-PCR rule are presented. The effectiveness of the proposed new rule is verified through numerical examples and applications, in comparison with other fusion methods.     

基于多层次特征的高分影像海岸带地物分类

针对高分辨率影像地物光谱丰富复杂的问题，文章提出了一种结合像元-对象-空间格局特征的水域、盐田等海岸带精细地物分类方法。首先基于像元和空间格局特征分别利用遗传算法优化随机森林参数进行分类；其次将两种分类结果采用D-S证据理论融合；然后基于不同地物斑块的空间上下文信息，采用粒子群算法优化支持向量机（Support Vector Machine，SVM）参数实现面向对象的二次分类。为验证方法的有效性，收集山东省莱州湾海岸带附近区域的“高分二号”卫星影像，开展了水域及水利设施用地、盐田、工矿用地、交通运输用地、住宅用地、沿海滩涂、海域与耕地8类地物的分类实验，总体精度达到97.21%，Kappa系数为0.964 2。实验结果表明，文章提出的高分影像海岸带地物分类方法兼顾像元、对象及空间格局特征优点，能够实现多层次细致分类，并同时兼具较短的训练时长与较高的分类精度。该研究成果可为中国海岸带生态环境监测与土地利用规划提供一定技术支撑。     

On the evidential reasoning rule for dependent evidence combination

Evidential Reasoning (ER) rule, which can combine multiple pieces of independent evidence conjunctively, is widely applied in multiple attribute decision analysis. However, the assumption of independence among evidence is often not satisfied, resulting in ER rule inapplicable. In this paper, an Evidential Reasoning rule for Dependent Evidence combination (ERr-DE) is developed. Firstly, the aggregation sequence of multiple pieces of evidence is determined according to evidence reliability. On this basis, a calculation method of evidence Relative Total Dependence Coefficient (RTDC) is proposed using the distance correlation method. Secondly, as a discounting factor, RTDC is introduced into the ER rule framework, and the ERr-DE model is formulated. The aggregation process of two pieces of dependent evidence by ERr-DE is investigated, which is then generalized to aggregate multiple pieces of non-independent evidence. Thirdly, sensitivity analysis is carried out to investigate the relationship between the model output and the RTDC. The properties of sensitivity coefficient are explored and mathematically proofed. The conjunctive probabilistic reasoning process of ERr-DE and the properties of sensitivity coefficient are verified by two numerical examples respectively. Finally, the practical application of the ERr-DE is validated by a case study on the performance assessment of satellite turntable system.     

空舰导弹射击禁区计算模型

空舰导弹射程远、飞行过程中的干扰因素多，明确其实弹射击过程中的禁区对于指导部队的射击训练和作战使用具有重要意义。文章通过分析空舰导弹武器系统的特性，梳理归纳了影响空舰导弹射击禁区的主要因素；在分析空舰导弹运动特性的基础上，采用质点飞行弹道模拟法、导弹飞行误差合成法建立了空舰导弹射击禁区的计算模型。     

一种基于模观测法的离心机加速度计组合标定方法研究

为了实现惯性组合中加速度计误差模型系数的整体标定,提高惯性导航系统的导航精度,应用模观测法重点实现了对加速度计二次项系数的标定.应用Tylor级数对加速度模型的解进行多项式展开,利用最小二乘法求得含误差模型系数的中间变量,并给出了加速度计的二次项系数、标度因数以及零偏的计算公式.设计了20位置法对加速度计组合进行标定,通过仿真验证了该方法的有效性,并分析了安装误差角和杆臂误差对系数标定精度的影响.结果 表明,安装误差角与杆臂误差对系数标定的影响小于10-8,在实际标定过程中可以忽略.     

基于 D-S证据理论和模糊综合评判的导弹备件品种确定

为提高导弹备件品种确定的科学性，从备件配置效果好坏这一实质出发，概述了D—S证据理论，分析了基于D—S理论和模糊综合评判的导弹备件品种确定步骤，描述了建模过程，并结合实例具体演示了该模型的运用。实例结果表明了该方法的可行性和优越性。     

一种基于组合策略的低轨星座网络流规划方法

低轨星座网络流规划方法是提升大型星座网络性能的关键技术。针对现有低轨星座网络流规划方法手段单一，难以兼顾全局性能优化与卫星自主灵活性等问题，研究提出了一种基于组合策略的低轨星座网络流规划方法，首先根据业务特点对网络流进行分类映射，针对6类映射业务的QoS差异，分别采用集中式、分布式和源端路由等路由控制策略；在此基础上将星座网络流规划问题抽象为求解带宽约束下的多源单汇网络最大流和多源多汇网络最大流问题，分别采用负载均衡路由和多约束QoS路由算法；对基于组合策略和单一策略的星座网络流规划方法进行了仿真分析，结果表明组合策略比集中式的传输时延低约20ms，丢包率低约9%，比分布式的带宽利用率高约42%，可有效提升星座网络性能，能够更好满足不同场景及需求。