金属网反射器索网预应力对模态的影响

卫星姿态和轨道调整时,金属网反射器索网结构的基频过低会使反射器产生振颤。文章通过金属网反射器索网结构的模态方程,利用有限元法来分析预张力的值与模态之间的关系,得到了预张力的大小对索网模态的影响规律,索网的基频会随着预张力的减小而下降,并用算例验证了这种方法的正确性。     

基于希尔伯特-黄算法瞬时测频的DSP实现

文章阐述了希尔伯特-黄瞬时测频技术的基本原理,介绍了希尔伯特．黄瞬时测频算法的DSP软件实现,包括系统软件设计框架介绍、子系统任务划分、DSP／BIOS的应用、BOOT模块、数据处理模块和HPI模块等内容,并给出了实际系统的性能分析。     

星载大型柔性索网天线重力环境下的型面调试

大口径柔性索网天线在地面环境下重力变形较大,且变形与天线反射面的制造误差始终交织在一起从而影响天线型面精度调试。针对这一问题,文章给出了反射面各类误差的定义,提出了制造误差与天线口面向上和口面向下不同放置状态型面误差的相互关系并予以证明;通过对这些关系式的运用降低了反射面重力变形与反射面制造误差的耦合程度,为反射器在重力环境下的型面调试指明了方向;此外结合工程需求给出了索网天线型面调试的流程,在实际工作中利用该流程可以有效地减少天线翻转调整次数,提高索网天线的型面调整效率。     

基于权值分配及多特征表示的在线多示例学习跟踪

针对复杂环境下目标跟踪过程中由于遮挡、目标姿势及光照条件变化引起跟踪漂移的问题,提出一种基于多示例学习（MIL）框架的在线视觉目标跟踪算法。该算法针对多示例跟踪算法采用单一haar-like特征不能准确描述目标外观变化及在学习过程中对样本包中各正负样本示例采用相同权值,忽略不同正负样本示例在学习过程中对包的重要性不同的特点,采用多特征联合表示目标外观构造分类器,通过将多特征互补特性融入在线多示例学习过程中,利用多特征的互补属性建立准确的目标外观模型,克服在线多示例跟踪算法对目标外观变化描述不足的问题;同时,依据不同正负样本示例对样本包的重要程度进行权值分配,提高跟踪精度。实验结果表明,本文跟踪算法对场景光线剧烈变化、遮挡、尺度变化及平面旋转等干扰具有较强的跟踪鲁棒性,通过对不同视频序列进行测试,文中算法在5组测试视频序列上的平均中心位置误差远小于对比增量式学习跟踪,仅为10.14像素,其对比算法IVT、MIL和OAB的中心位置误差分别为17.99、20.29和33.64像素。      

Particle flters for probability hypothesis density flter with the presence of unknown measurement noise covariance

In Bayesian multi-target fltering,knowledge of measurement noise variance is very important.Signifcant mismatches in noise parameters will result in biased estimates.In this paper,a new particle flter for a probability hypothesis density（PHD）flter handling unknown measurement noise variances is proposed.The approach is based on marginalizing the unknown parameters out of the posterior distribution by using variational Bayesian（VB）methods.Moreover,the sequential Monte Carlo method is used to approximate the posterior intensity considering non-linear and non-Gaussian conditions.Unlike other particle flters for this challenging class of PHD flters,the proposed method can adaptively learn the unknown and time-varying noise variances while fltering.Simulation results show that the proposed method improves estimation accuracy in terms of both the number of targets and their states.     

基于FFT含有饱和环节的非线性等效系统的方法研究

基于快速傅里叶变换(FFT)方法,对系统的输入和输出信号进行快速傅里叶变换,对含有高次谐波的输出信号进行滤波,得到期望主频率的傅里叶频谱,然后进行傅里叶反变换,求得在各主频率下的幅值和相位.利用MATLAB中的非线性最小二乘拟配方法得到含有非线性环节的飞机纵向飞行控制系统的频域等效线性模型.这种方法也为含有非线性环节的飞机纵向飞行控制系统的飞行品质评估提供了一种可行的方法.     

加速度计频率特性分析

针对系统振动试验中加速度计暴露出的故障现象,从加速度计的具体结构、传递函数等部分进行了分析推导和理论计算,分析了加速度计的频率特性,为产品试验、使用和改进提供了参考依据。     

一种转台角位置定位精度检测方法

角位置定位精度和速率精度是转台产品的最主要两项技术指标,转台产品均需检测。其中角位置精度检测方法的操作步骤多,影响因素多。本文从角位置精度的检测方法,检测步骤和检测技巧等方面进行初步的剖析,重点阐述用24面体进行位置精度检定中的过程与方法。     

Demonstration of a high sensitivity GNSS software receiver for indoor positioning

Advances in signal processing techniques contributed to the significant improvements of GNSS receiver performance in dense multipath environments and created the opportunities for a new category of high-sensitivity GNSS (HS-GNSS) receivers that can provide GNSS location services in indoor environments. The difficulties in improving the availability, reliability, and accuracy of these indoor capable GNSS receivers exceed those of the receivers designed for the most hostile urban canyon environments. The authors of this paper identified the vector tracking schemes, signal propagation statistics, and parallel processing techniques that are critical to a robust HS-GNSS receiver for indoor environments and successfully incorporated them into a fully functional high-sensitivity software receiver. A flexible vector-based receiver architecture is introduced to combine these key indoor signal processing technologies into GSNRx-hs™ – the high sensitivity software navigation receiver developed at the University of Calgary. The resulting receiver can perform multi-mode vector tracking in indoor environment at various levels of location and timing uncertainties. In addition to the obvious improvements in time-to-first-fix (TTFF) and signal sensitivity, the field test results in indoor environments surrounded by wood, glass, and concrete showed that the new techniques effectively improved the performance of indoor GNSS positioning. With fine GNSS timing, the proposed receiver can consistently deliver indoor navigation solution with the horizontal accuracy of 2–15 m depending on the satellite geometry and the indoor environments. If only the coarse GNSS timing is available, the horizontal accuracy of the indoor navigation solution from the proposed receiver is around 30 m depending on the coarse timing accuracy, the satellite geometry, and the indoor environments. From the preliminary field test results, it has been observed that the signal processing sensitivity is the dominant factor on the availability of the indoor navigation solution, while the GNSS timing accuracy is the dominant factor on the accuracy of the indoor navigation solution.     

基于鲁棒自适应反步法的航天器姿态跟踪控制

针对存在未知惯量矩阵和外干扰的刚体航天器姿态跟踪,提出了一种鲁棒自适应控制方法。综合自适应反步法和非线性L2增益干扰抑制方法,用自适应反步法构造系统的Lyapunov函数,获得了具L2增益的鲁棒自适应控制器,以保证姿态跟踪误差系统为一致最终有界稳定,确保估计的航天器惯量参数的有界性,并使从外干扰输入到评价输出的L2增益不大于给定值。仿真结果验证了方法的有效性和可行性。