Research on the frequency domain ∑△-DPCA

The frequency domain ∑A-DPCA processing （F-∑A-DPCA） is investigated in details and an improved scheme for the F-∑A-DPCA is proposed, which can significantly reduce the computational burden. In practice, because of the sum and difference beam pattern designed independently and other system errors, the clutter suppression of the time domain ∑A-DPCA processing （T-∑A-DPCA） is significantly degraded. However, the F-∑A-DPCA adaptively calculates the optimum gain ratio for motion compensation within each Doppler cells which is robust to system errors. Theoretical analysis and simulation results are presented to validate that the F-∑A-DPCA can achieve superior performance of clutter cancellation than the time domain processing, and its performance can be significantly increased if more pulses are used for the Doppler filtering. The improved approach is efficient, and feasible for real-time application.     

GFMIMU/GPS组合导航系统信息融合技术研究

GFMIMU/GPS(Gyroscope Free Micro Inertial Measurement Unit/Global Positioning System)组合导航系统具有抗高g值冲击、低成本、长寿命、较高精度等优点,在低成本精确制导武器和微小型无人机具有广阔的应用前景。针对工程应用中信息融合的精度和实时性两方面的要求,运用基于模型误差预测的扩展卡尔曼滤波MEP-EKF(Extended Kalman Filter base on Model Error Predictive)方法,将MEMS(Micro Electromechanical Systems)加速度计的误差作为模型误差来考虑,对GFMIMU/GPS组合导航系统进行建模仿真,将其与EKF和UKF(Unscented Kalman Filter)方法进行了仿真比较,在方位误差角的估计上取得了比他们精度高的仿真结果,而且MEP-EKF所需时间是UKF的10%.     

基于GIS的网上世博场馆导航系统

网上世博场馆导航系统能够引导游客流向,提高世博会的服务水平.将GIS和虚拟现实技术相结合实现了网上世博场馆虚拟导航系统,系统具备场馆漫游和查询、路线推荐和定制以及流量估计等功能.系统建立了ArcGIS数据库模型,实现了基于FNR树时空数据索引和智能导航组合算法,并利用经验导航路线设计符合用户期望的最佳导航路线.系统能够提供直观、可视、可交互的导航服务.     

Pulsar/CNS integrated navigation based on federated UKF

In order to improve the autonomous navigation capability of satellite, a pulsar/CNS (celestial navigation system) integrated navigation method based on federated unscented Kalman filter (UKF) is proposed. The celestial navigation is a mature and stable navigation method. However, its position determination performance is not satisfied due to the low accuracy of horizon sensor. Single pulsar navigation is a new navigation method, which can provide highly accurate range measurements. The major drawback of single pulsar navigation is that the system is completely unobservable. As two methods are complementary to each other, the federated UKF is used here for fusing the navigation data from single pulsar navigation and CNS. Compared to the traditional celestial navigation method and single pulsar navigation, the integrated navigation method can provide better navigation performance. The simulation results demonstrate the feasibility and effectiveness of the navigation method.     

基于异步估计自适应Kalman滤波系统设计

一般的Kalman滤波器时系统噪声和测量噪声统计特性要求较为严格,当统计特性存在不确定性时,估计会造成较大的估计误差,甚至使滤波器发散.针对此问题,在基于新息的自适应估计和极大后验估计的基础上对Q和R进行异步估计;以某型号光纤惯性测量装置和GPS系统为背景的仿真实验结果表明,该方法能够有效地对Q和R存在不确定的组合导航系统的误差状态变量进行估计,并能较好地保证自适应滤波器的收敛性,进一步提高了估计精度.     

一种基于自适应网格IMM的自适应采样周期算法

提出一种自适应网格交互多模型下采样周期自适应的算法。在自适应网格交互多模型算法中,中心模型参数变化率反映了系统模型与目标机动水平间的匹配程度,而两者的匹配程度直接影响目标的跟踪精度。利用中心模型参数变化率对采样周期进行控制,并引入可控参数对平均采样周期进行灵活调整。仿真结果表明在自适应网格交互多模型下,提出的自适应采样周期算法比固定采样周期算法及基于预测协方差的自适应采样周期算法具有更好的性能。     

一种基于独立成分分析的滚转弹姿态解算

为了获取试验弹的飞行姿态,以便为进一步的弹体飞行动力学分析及制导系统的效能评估提供依据,提出了一种基于独立成分分析(independent component analysis,ICA)的滚转弹飞行姿态获取方法。该算法使用一个双轴角速率陀螺构成滚转弹飞行姿态遥测系统,利用ICA算法对遥测数据进行处理,从而重构弹体飞行姿态。通过构造一个特殊的虚拟观测变量,即可借助于ICA算法将测量信号由弹体坐标系变换至准弹体坐标系,去除由于弹体滚转引入的信号调制效应,最终解算出滚转弹的姿态信息。仿真计算结果验证了算法的有效性。     

一类非线性系统的局部镇定及吸引域估计

研究了一类非线性系统的局部稳定问题,应用中心流形定理,给出了这类非线性系统渐近镇定的充分条件和系统的吸引域估计.设计出镇定系统的反馈控制律,特别研究了一类平面非线性系统,给出了系统镇定的若干条件.通过实例说明选取控制律应注意的一些问题,给出了多个实例,表明结果的有效性.     

基于模糊控制的WSN移动节点自主导航算法

设计了一种利用无线传感器网络(WSN)节点间通信信号强度信息(RSSI)及网络拓扑结构实现移动节点自主导航的方法。将机器人作为WSN的移动节点,利用RSSI势场量化的坐标空间描述机器人状态及目标位置,有效避免将RSSI值转换为距离时带来的模型误差。由若干个信标节点组成一个基于模糊控制的分布式导航系统,每个信标节点都是一个独立的模糊控制单元,最后由决策控制中心综合各信标节点的输出量决定机器人的航向。仿真和现场实验都表明该方法的有效性。     

Parametric estimation of ultra wideband radar targets

Based on the analysis of impulse response properties, a scattering model of ultra wideband (UWB) radar targets is developed to estimate the target parameters exactly. With this model, two algorithms of multiple signal classification (MUSIC), and matrix pencil (MP), are introduced to calculate the scattering center parame-ters of targets and their performances are compared. The simulation experiments show that there are no differ-ences in the estimation precision of MUSIC and MP methods when the signal-to-noise ratio (SNR) is larger than 13 dB. However, the MP method has a better performance than that of MUSIC method when the SNR is smaller than 13 dB. Besides, the time consuming of MP method is leas than that of MUSIC method. Therefore, the MP algorithm is preferred for the parametric estimation of UWB radar targets.