H1 output tracking control for flight control systems with time-varying delay

For flight control systems with time-varying delay, an H1 output tracking controller is proposed. The controller is designed for the discrete-time state-space model of general aircraft to reduce the ef...     

多普勒跟踪测量用于时空引力检验的尝试:(Ⅰ)理论建模

作为多普勒跟踪测量用于时空引力检验的尝试,在多普勒建模过程中加入了对于局部洛仑兹不变性(LLI)以及局部位置不变性(LPI)的检验参数。LLI/LPI是包括广义相对论在内的任何度规引力理论的基石。通过迭代求解多普勒建模过程中所需的光行时解,证明了只有在单程以及三程多普勒测量中可以检验LLI和LPI。鉴于该种测量手段无需额外载荷以及我国测控精度,可以尝试通过单/三程多普勒测量来检验LLI和LPI的科学目标。     

Trajectory Estimation with Multi-range-rate System Based on Sparse Representation and Spline Model Optimization

The classic state methods for trajectory estimation in boost phase with multi-range-rate system include method of point-by-point manner and that of spline-model-based manner. Both are deficient in terms of model-approximation accuracy and systematic error determination thus resulting in the estimation errors well beyond the requirements, especially, concerning the maneuvering trajectory. This article proposes a new high-precision estimation approach based on the residual error analysis. The residual error comprises three components, i. e. systematic error, model truncation error and random error. The approach realizes self-adaptive estimation of systematic errors in measurements following the theory of sparse representation of signals to minimize the low-frequency components of residual errors. By taking median- and high-frequency components as indexes, the spline model-approximation is improved by optimizing node sequence of the spline function and the weight selection for data fusion through iteration. Simulation has validated the performances of the proposed method.     

双频系统的功率分配和最佳设计方法

双频系统含有双频多普勒测速、数传及遥测三个分系统。本文提出双频组合(随机)测速误差、测速分系统的及整个双频系统的最佳功率分配等概念和公式,最佳设计方法和一个简便迅速的图解法。利用此法可将双频系统发射机耗功降至最小值,或反言之可提高有关分系统的精度。     

新技术试验卫星C星、D星姿轨控分系统设计和在轨验证

介绍了新技术试验卫星C星、D星姿轨控分系统设计和在轨验证情况。姿轨控分系统具备任意目标凝视跟踪、条带拼接成像、主动推扫成像等姿态控制功能。通过基于操作系统的姿轨控应用软件架构设计和基于动态链接库的在轨编程设计,首次实现基于操作系统的星载应用软件并行开发。通过一个软件配置项实现双星功能,解决了双星研制周期短、工作模式复杂等问题。给出了卫星在轨运行的部分曲线和数据,可为遥感卫星姿轨控系统设计提供参考。     

基于测量数据积累的弱目标检测前跟踪算法

检测前跟踪(TBD)算法是一种有效的弱目标联合检测与跟踪方法。当目标强度参数未知时,基于点目标假设的主流TBD算法通常将其建模为增广目标状态变量,在贝叶斯框架下联合估计目标运动状态与强度信息。本文研究发现强度参数估计精度受限于点扩散函数(PSF)的设置,提出了一种基于测量数据积累的弱目标TBD算法。该方法利用目标的航迹,积累多帧间目标占据分辨单元的测量数据,在实现弱目标的联合检测与跟踪的同时,对目标强度参数完成准确估计,为后续目标分类或识别提供有用的目标强度信息。仿真结果表明:在低信噪比条件下,所提算法的强度参数估计精度和稳健性优于主流TBD算法,并最终收敛于参数完全已知时的最优联合检测与跟踪结果。     

An alternative computation of a gravity field model from GOCE

GOCE is the first satellite with a gravitational gradiometer (SGG). This allows to determine a gravity field model with high spatial resolution and high accuracy. Four of the six independent components of the gravitational gradient tensors (GGT) are measured with high accuracy in the so-called measurement band (MB) from 5 to 100 mHz by the GOCE gradiometer. Based on more than 1 year of GOCE measurements, two gravity field models have been derived. Here, we introduce a strategy for spherical harmonic analysis (SHA) from GOCE measurements, with a bandpass filter applied to the SGG data, combined with orbit analysis based on the integral equation approach, and additional constraints (or stabilization) in the polar areas where no observation is available due to the orbit geometry. In addition, we combined the GOCE SGG part with a set of GRACE normal equations. This improves the accuracy of the gravity field in the long-wavelength parts, due to the complementarity of GOCE and GRACE. Comparison with other models and with external data shows that our results are rather close to the GPS-levelling data in well-selected test regions, with an uncertainty of 4–7 cm, for truncation at degree 200.     

基于GAS的图像跟踪系统及其实现方案

利用遗传优化算法实现了一个目标跟踪系统,将传统的目标搜索、目标分割、目标定位及跟踪状态评估等过程都由遗传算法来实现,使系统结构简单,易于实现。并分析了利用 TMS32 0 C6x实时实现遗传优化跟踪过程的可能性,最后给出了该系统的实现方案     

中继卫星在轨动态捕获跟踪试验方法研究

针对中继卫星在轨捕获跟踪高速运动目标的动态性能测试难题,提出了一种基于静止目标（中继卫星地面站）,利用中继卫星姿态连续偏置运动模拟中继卫星与用户航天器之间的相对运动,开展中继卫星在轨动态捕获跟踪测试方法的研究。仿真分析和在轨试验结果验证了该方法的有效性,从而为我国首次天基数据中继试验任务的顺利完成奠定了基础。     

一种混合的扩展目标跟踪方法

与传统的目标跟踪不同,扩展目标跟踪（EOT）不忽略目标的轮廓特征,同时对目标的质心运动学状态和轮廓特征进行估计。基于随机矩阵的扩展目标跟踪方法用随机正定矩阵来描述目标的轮廓特征,并且建立了适合扩展目标跟踪的量测模型。为了改善目标机动时的跟踪性能,根据椭圆（体）与正定矩阵的关系,提出基于椭圆（体）拟合的扩展目标跟踪方法。进一步地,为了综合上述两类方法的优点,提出一种混合的扩展目标跟踪方法,能够根据目标机动与否在两类方法中进行选择。仿真结果表明,该混合方法的轮廓特征估计误差低于前述两类方法,质心运动学状态的估计性能也更好。