二进制翻译系统BATSUP中的动态翻译器的设计与实现

针对目前航电系统硬件的升级换代而导致老的软件的不可用的问题,提出了一个用于航电系统软件升级的二进制翻译系统(BTASUP系统)。该系统能把解释执行和动态翻译结合起来,在PowerPC处理器上实现对1750A处理器的二进制可执行代码的透明执行。介绍了系统的结构和工作原理,重点讨论了作为系统重要组成部分的动态翻译器的设计与实现。     

用于航空电子系统升级的二进制翻译系统

针对目前航电系统硬件平台的升级而导致的原有的经过验证的软件资源不可用的问题,提出了一个用于航空电子系统升级的二进制翻译系统(BTASUP).该系统将解释和动态二进制翻译结合起来,在PPC上实现了对1750A二进制可执行代码的透明执行.采用了快速模拟、直接替换段等技术提高了系统的运行效率及适应性.开发的验证工具VERBT验证了系统的功能及效率.验证结果表明系统能对原有的环境进行正确的仿真(/模拟),代码的运行速率满足原系统的要求.     

基于模型管理框架的机翼结构多目标优化设计

采用演化算法对某高空长航时无人机机翼结构进行多目标优化设计时,由于需要大量的演化迭代和很多次的有限元分析计算,使演化算法相当耗时.为了提高效率,采用模型管理框架对该机翼结构进行多目标优化设计.采用模型管理框架可以建立满足精度要求的目标及约束的近似模型,使演化算法不仅避免了大量的有限元分析计算,而且获得了满意的该高空长航时无人机机翼结构的多目标优化设计结果.     

基于多目标算法的空中作战任务规划框架研究

空中作战任务规划是一项复杂的任务,随着空中作战飞行器的种类、数量及其之间交互性的增加,任务规划也变得越来越复杂。任务规划人员必须在有限的时间内制定出最优的任务分配策略。决策支持工具可以辅助任务规划人员找到最优的规划方案。介绍了设计多目标进化算法以及在空中作战任务规划领域的框架和工作流程,具体的任务包括空中打击动态目标的定位问题和情报监视侦察（ISR）任务规划。总结了这些研究的经验教训,探讨了未来可能的发展方向。     

基于动态多目标优化的航班预先飞行计划优化研究

空中交通流量管理的预战术阶段,需要根据机场运行容量的预测适时对预先飞行计划优化调整,以满足空中交通需求与容量平衡,减少航班延误和避免时隙资源浪费。航班预先飞行计划的优化调整需求随时间或环境的变化复杂多样,普通的目标优化算法难以解决问题特性。建立动态多目标优化模型,以航班调整数量最小化、航班总调整时间最小化以及航班取消量最小化为目标,采用非支配遗传算法（NSGA-Ⅱ）寻求动态多目标优化的帕累托最优解集。以某繁忙机场为实证,给出航班预先飞行计划优化目标的帕累托最优解,并将优化结果与先到先服务算法（FCFS）的优化结果比较,NSGA-Ⅱ算法显著减少了航班调整量和总调整时间,更好满足了航班实际运行需求,为预战术阶段的机场需求与容量平衡管理提供参考。     

基于布谷鸟算法的多目标公差设计

本文提出了一种基于布谷鸟算法(CS)的多目标公差设计方法。在传统的制造成本和质量损失函数基础上,引入产品的装配性能,建立新型多目标公差设计优化模型,并提出使用模糊层次分析法确定各分目标的权重因子。运用非惯性权重方式调整步长因子,改进布谷鸟算法并用于求解得到的多目标公差设计模型。以一个齿轮组装配件作为算例,验证布谷鸟算法求解公差设计模型的适用性与可行性,为公差设计的分配方案提供新的求解方式。     

基于多目标的二冲程发动机换气过程优化

二冲程航空活塞发动机的换气过程直接影响燃烧效果和发动机性能,以某二冲程航空活塞发动机为例,建立仿真模型,基于动力性能、经济性能、扫气性能进行多目标优化,对扫气道、排气道结构参数的不同组合优化分析。另外,还对不同海拔工况点下（转速为5 600 r/min,100%节气门开度）的气道结构参数进行优化。结论表明:使用NSGA-Ⅱ算法对发动机气道结构的优化可以有效提高扫气效率和功率,优化后（转速为5 600 r/min）分别为0.841 kW和2.712 kW,燃油消耗率降低22.08 ;另外,在不同海拔工况点中,随着海拔高度的增加扫气道长度呈现出减短的趋势,而排气道长度逐渐增加,且在海拔高度大于1 800 m时趋势变化更加明显。      

基于Kriging的多目标遗传算法

为了提高多目标优化问题的求解效率,提出了一种新的处理约束多目标优化问题的基于Kriging的多目标遗传算法(MOKGA)。MOKGA采用物理规划法将多目标优化转化为单目标优化,然后构建目标函数的考虑约束的EI(Expected Improvement)模型,并采用遗传算法进行求解。六峰值驼背函数和一个导弹多目标多学科设计优化问题用于MOKGA算法性能的测试。结果表明,与理论解相比,MOKGA算法有很好的优化结果;与NSGA II相比,MOKGA有很快的收敛性。     

基于多目标遗传算法的再入飞行器气动布局优化

本文采用多目标遗传算法来确定再人飞行器气动布局优化问题的Pareto最优解集,并和传统的多目标优化方法(加权和方法、约束法)进行比较.通过计算表明,多目标遗传算法能够在一次运行中搜索到优化问题的近似Pareto最优解集,这为飞行器设计者进行目标折衷决策提供了充分的依据.     

多飞行器动态目标追踪协同控制研究

多飞行器追踪动态目标是一个协同控制问题,需要根据目标飞行状态,协同各个追踪飞行器的飞行状态,最终能够在某动态的最佳点实现同时到达。考虑到目标具有较强的机动性,轨迹通常为非线性的,设计了一种基于非线性轨迹预测的、以剩余时间为控制变量的一致性控制方案。仿真结果表明,提出的控制方案能够实现空间位置相距较远的多飞行器动态追踪,具有较好的灵活性和收敛性,目标轨迹的预测结果与实际轨迹误差较小,恰当的轨迹估计有助于缩短追踪时间,提高追踪效率。     

Varieties of Average Monopulse Responses to Multiple Targets

A monopulse receiver exhibits three apparently distinct types of average response when the radar sees two jammers, two passive targets, or one of each. This variety of response types is analyzed and shown to be consistent, i.e., the responses are shown to be special cases of a general formula which applies to two independent targets with uniformly distributed phase difference.     

Dynamic Programming Solution for Detecting Dim Moving Targets

An on-board scanning or mosaic sensor is staring down from a satellite to a fixed ground point while producing a set of frames that contain target and background signals. Detecting dim moving targets should ideally be done by exhaustively searching over all in he maery(mached fltering), as ppoed possible trajectories in the imagery (matched filtering) as opposed to assembling trajectories from thresholded frames. The dynamic programming approach equivalently substitutes the above prohibitive exhaustive search by a feasible algorithm.     

Effect of Monopulse Signal Thresholding on Tracking Multiple Targets

The monopulse angle of arrival measured from two targets may wander far beyond the angular separation of the targets. In order to remove large errors, angle of arrival measurements are passed through a threshold detector and the measurements which do not satisfy the threshold are rejected. Thresholding has the tendency to move the mean indicated angle of arrival away from the stronger target and toward the power centroid of the targets, which may be undesirable in some applications. Expressions for the probability density function, the mean, and the variance of the in-phase angle of arrival are developed in this paper as a function of the threshold setting. Background noise and interfering signals are neglected in the analysis.     

Tracking of Spawning Targets with Multiple Finite Resolution Sensors

In this paper the problem of tracking multiple spawning targets with multiple finite-resolution sensors is considered and a new algorithm for measurement-to-track association with possibly unresolved measurements is presented. The goal is to initialize new tracks of spawned targets before they are resolved from the mother platform so that one has the ability to carry out early discrimination when they become resolved. The multiple scan data association problem is first formulated as a multidimensional assignment problem with explicit new constraints for the unresolved measurements. Then the top M hypotheses tracking (TMHT) is presented where the state estimates and their covariances are modified based on the M best hypotheses through the assignment solutions. A modification to the assignment problem is developed that leads to a linear programming (LP) where the optimal solution can be a noninteger in [0,1]. The fractional optimal solution is interpreted as (pseudo) probabilities over the N - 1 frame sliding window. The best hard (binary) decision assignment solution and the M best via TMHT are compared with the soft decision solution for 2-D tracking scenarios with various sensor configurations. Based on the simulation results, the soft assignment approach has better track maintenance capability than the single best hard assignment and a performance nearly as good as the TMHT. Its computational load is slightly higher than the single best hard assignment but much lighter than TMHT.     

Tracking Performance of a Monopulse Radar in the Presence of Multiple Targets

The equations derived by A. J. Rainal for the probability density function of the angle error output of a monopulse radar excited by a Gaussian signal and Gaussian thermal noise are generalized to include the presence of multiple targets. The examples given demonstrate the radar's behavior for various combinations of target and noise parameters.     

基于概率假设密度滤波器的多目标跟踪方法

在总结分析现有多目标跟踪方法的基础上,重点阐述了一种新的基于概率假设密度的多目标滤波跟踪方法,利用带有新生目标检测功能的概率假设密度滤波方法,通过仿真算例,与传统的MHT方法和GM-PHD方法进行了跟踪性能对比,说明了概率假设密度滤波器在强杂波和新生目标未知情况下的优越性。     

Dynamic Targets in CRRs Part II: Experiments and SAR Correspondence

Expressions describing the correspondence between moving-target artifacts for synthetic-aperture radar (SAR) and compact radar range (CRR) emulations are developed. Experimental results are then presented to verify the accuracy of these equations and to characterize the capacity of CRRs to emulate translating, vibrating, and rotating targets. We show that phase-compensation techniques can be applied to CRR data, providing a suitable test bed for SAR phase-compensation techniques.     

A Decision Theoretic Approach to the Angular Resolution and Parameter Estimation Problem for Multiple Targets

The problem of multiple-target resolution and parameter estimation is formulated in a decision theoretic context. The estimation portion of the problem is explicitly solved and experimentally implemented. The results show that it is possible to obtain accurate parameter estimates for targets separated as close as a quarter of a 3-dB beamwidth. This resolution was obtained for reasonable SNR's and with a system that utilized only commercially available components.