干涉SAR目标回波信号模拟器的设计与实现

完成了星载干涉SAR目标回波信号模拟器的设计与实现,该模拟器能够与一发双收干涉SAR构成雷达半实物仿真回路,实时记录主星雷达发射信号,离线调制场景信息后,依据雷达工作时序实时播放主辅星场景回波.采用高数字中频收发技术获得优良的谐杂波和载波抑制性能,利用在线闭环校正技术对模拟器通道间幅相一致性误差进行实时校准.测试结果表...     

关联维数在梁式结构损伤检测中的应用

为探索有效实用的结构损伤检测方法,运用分形理论直接对结构振动信号进行关联维数分析,通过度量系统输出的奇异性来识别结构的局部损伤,提出了基于振动响应关联维数的结构损伤检测方法.简支梁损伤算例结果表明,该方法能够准确地检测出梁式结构单个和多个不同程度的损伤位置,同时关联维数指标变化值会随着损伤程度的增加而增大.与曲率模态指...     

基于转盘爬虫法的雷达地形遮蔽盲区快速计算

为解决飞机在低空突防过程中的雷达地形遮蔽盲区快速计算问题,提出了一种基于转盘爬虫对象的快速算法。首先介绍了雷达盲区产生的因素,分析了地形遮蔽和地球曲率盲区的计算模型,然后定义了转盘及爬虫对象,并设计了基于转盘爬虫对象的地形遮蔽盲区计算方法和流程。在此基础上,将雷达地形遮蔽盲区计算结果进行三维建模及可视化,通过典型算例对算法进行对比测试和实验,得到不同高度的雷达地形遮蔽盲区分布图及三维可视化模型,证明了算法的快速性和可行性。     

基于VR的虚拟火炮行为仿真

针对虚拟武器装备行为仿真过程中存在的运动仿真复杂、多部件协调操作仿真困难等问题,本文基于虚拟现实建模工具构建了某型传统火炮的三维模型-虚拟火炮,为行军行为仿真过程中运动轨迹选取、运动姿态控制、碰撞检测及响应等问题提供了合理的解决方法;在用炮和收炮行为仿真过程中,重点设计了时间驱动算法来解决多部件之间的协调操作仿真问题。通过对虚拟火炮的特定行为进行可视化仿真,验证了文中行为仿真研究方案的合理性及算法设计的正确性。     

交互多模型算法的无人机控制系统故障诊断

交互多模型算法是一种广泛用于各种结构与参数变化的动态系统自适应估计的有效方法.在建立无人机控制系统传感器和执行器的全局故障和局部故障模型的基础上,应用此方法对传感器和执行器的各种软硬故障进行诊断,应用所建立的数学模型与方法,对无人机传感器和执行器的局部与全局故障进行了仿真计算.在仿真过程中发现,与一般的多模型方法相比,此方法能够更加准确可靠地诊断故障,无延迟报警,算法简单.仿真结果验证了该方法的有效性.     

突防过程的组网雷达干扰资源优化分配

以组网雷达融合中心检测概率为目标函数,建立针对组网雷达系统的干扰资源优化分配模型.并进一步指出该模型运用于飞行器突防时,其不足之处在于"以点带面",以飞行器突防过程中某一点的融合中心检测概率代替整个突防过程时,该评估方法损失过程中的大量信息.在此基础上充分利用突防过程的信息,提出以"融合中心检测概率加权积分"为目标函数,建立基于突防过程的干扰资源优化分配模型.仿真结果表明具有一定的指导意义.     

一种基于广义Hough变换的遥感图像船舶横波自动检测与速度估计方法

从Kelvin横波航迹的形成原理出发,详细推导了Kelvin横波波峰模型,提出一种基于广义Hough变换的遥感图像船舶横波自动检测方法,取得了较好的检测效果,并依据检测结果对船舶速度进行了估计。所述方法对海上船舶运输和港口管理等具有重要意义。     

Aircraft routing under the risk of detection

The deterministic problem for finding an aircraft's optimal risk trajectory in a threat environment has been formulated. The threat is associated with the risk of aircraft detection by radars or similar sensors. The model considers an aircraft's trajectory in three‐dimensional (3‐D) space and represents the aircraft by a symmetrical ellipsoid with the axis of symmetry directing the trajectory. Analytical and discrete optimization approaches for routing an aircraft with variable radar cross‐section (RCS) subject to a constraint on the trajectory length have been developed. Through techniques of Calculus of Variations, the analytical approach reduces the original risk optimization problem to a vectorial nonlinear differential equation. In the case of a single detecting installation, a solution to this equation is expressed by a quadrature. A network optimization approach reduces the original problem to the Constrained Shortest Path Problem (CSPP) for a 3‐D network. The CSPP has been solved for various ellipsoid shapes and different length constraints in cases with several radars. The impact of ellipsoid shape on the geometry of an optimal trajectory as well as the impact of variable RCS on the performance of a network optimization algorithm have been analyzed and illustrated by several numerical examples. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2006     

DS/PM双模应答机接收信号的快捕技术

提出了一种星用直扩/调相(DS/PM)双模式应答机接收信号快速识别和捕获的算法,并分析了该算法的性能。与传统的处理方式相比,该算法通过对共同处理部件(FFT/IFFT)的复用在提高系统性能的同时优化了系统结构,降低了对硬件规模的要求。解决了高动态、低信噪比和大多普勒频移环境下捕获时间与检测性能的矛盾,对研制星用DS/PM双模式应答机有很好的参考价值。     

Adaptive subspace detection based on two-step dimension reduction in the underwater waveguide

In the underwater waveguide, the conventional adaptive subspace detector (ASD), derived by using the generalized likelihood ratio test (GLRT) theory, suffers from a significant degradation in detection per-formance when the samplings of training data are deficient. This paper proposes a dimension-reduced approach to alleviate this problem. The dimension reduction includes two steps: firstly, the full array is divided into several subarrays; secondly, the test data and the training data at each subarray are transformed into the modal domain from the hydrophone domain. Then the modal-domain test data and training data at each subarray are processed to formulate the subarray statistic by using the GLRT theory. The final test statistic of the dimension-reduced ASD (DR-ASD) is obtained by summing all the subarray statistics. After the dimension reduction, the unknown parameters can be estimated more accurately so the DR-ASD achieves a better detection performance than the ASD. In order to achieve the optimal detection performance, the processing gain of the DR-ASD is deduced to choose a proper number of subarrays. Simulation experiments verify the improved detection performance of the DR-ASD compared with the ASD.