Hierarchical Bayesian models applied to air surveillance radars

Evaluation tests for air surveillance radars are often formulated in terms of the probability to detect a target at a specified range. Statistical methods applied in these tests do not explore all data in a full probabilistic model, which is crucial when dealing with small samples. The collected data are arranged longitudinally, in different levels (altitude), indexed both in time and distance. In this context we propose the application of dynamic Bayesian hierarchical models as an efficient way to incorporate the complete data set. Markov Chain Monte Carlo methods (MCMC) are used to make inference and to evaluate the proposed models.     

A stable solution

It is proven that an autonomous system verifying some conditions has exactly one stable stationary trajectory. The proof of the result is based upon continuation methods.     

A LOWER BOUND OF STABLE STATIONARY TRAJECTORIES

It is proven that an autonomous system verifying some conditions has at least one stable stationary trajectory and it is also given a lower bound to the number of unstable stationary trajectories.     

广播式自动相关监视设备系统设计

随着多旋翼无人机日益广泛的应用,其监视能力的薄弱也日渐显露,增强其自主监视能力是实现无机自动化的重要手段,为此,设计了一套基于MSP430F4152的小型广播式自动相关监视设备,可使多旋翼无人机具有自主监视能力。首先,基于现有的广播式自动相关监视技术,对嵌入式系统进行优化设计,然后,设计了以MSP430F4152微控制器为主控芯片的硬件部分,通过ATGM331C模块获取位置信息与时间同步信号,并利用nRF24L01 模块进行无线数据传输,最终在J204A显示屏上显示本机信息与远程数据。软件部分针对电池驱动的硬件做了优化设计,参考UAT数据链设计了本系统的工作时序,利用Asterix Category 021协议设计了本系统的报文格式,最后对文中方法进行实验测试,结果表明了文中系统能实现主监视,是一种可行的方法。     

基于DM3730的微小型四旋翼自主着陆视觉系统研究

为实现微小型四旋翼无人飞行器的视觉导引自主着陆过程,采用TI公司DM3730芯片作为核心处理器,构建一套自主着陆视觉导引处理系统。手动飞行实验结果表明,在常规条件下,该系统能够有效识别人工着陆标识,并解算出其与飞行器的相对位置信息用于自主着陆导引。     

ON THE BOUNDEDNESS CONDITIONS FOR SOLUTIONS OF A AUTONOMOUS DIFFERENTIAL SYSTEM

ＯＮＴＨＥＢＯＵＮＤＥＤＮＥＳＳＣＯＮＤＩＴＩＯＮＳＦＯＲＳＯＬＵＴＩＯＮＳＯＦＡＡＵＴＯＮＯＭＯＵＳＤＩＦＦＥＲＥＮＴＩＡＬＳＹＳＴＥＭ￥ＨｕａｎｇＬｉｈｏｎｇ（黄立宏）；ＷａｎｇＺｈｉｃｈｅｎｇ（王志成）（ＨｕｎａｎＵｎｉｖｅｒｓｉｔｙ，湖南大学...     

AUV双基地合成孔径声呐成像实验*

单基地合成孔径声呐成像通常基于点目标假设,其相干积累处理不能克服分布型目标散射模式的起伏效应。收发异置的双基地声呐可以从不同角度观察目标,充分挖掘目标散射模式的角度依赖特性,在对水下目标(尤其人造目标)检测与定位方面,相对仅仅观测后向散射的单基地声呐有潜在的优势。该文 介绍一种基于自主水下航行器的双基地合成孔径声呐系统,重点介绍湖试成像的结果,验证双基地合成孔径声呐的可行性。同时通过引入目标散射模式建模的宽角度合成孔径声呐处理,实现了对目标探测性能的提升。     

化工原理实验教学模式的改革与探索

为提高大学生在化工实验中的实际操作能力和学习自主性,从教师教学理念的转变、教学方式的改进以及考核形式的改革等几方面出发,探讨了化工原理实验教学中不断提高学生自主学习能力的改革方法。     

基于强跟踪平方根容积卡尔曼滤波的纯方位目标运动分析方法

针对纯方位目标跟踪系统中模型状态简化、系统噪声统计特性未知、目标初始距离信息不准确导致的滤波收敛时间长和滤波精度不高的问题,以自主水下机器人(Autonomous Underwater Vehicle, AUV)跟踪水下动态目标为例,提出了一种基于强跟踪平方根容积卡尔曼滤波器(Strong Tracking Square Root Cubature Kalman Filter, STFSRCKF)的纯方位目标运动分析算法。该算法在滤波过程中,利用平方根容积卡尔曼滤波器(Square Root Cubature Kalman Filter, SRCKF)完成预测更新,对于SRCKF中的每个容积点采用强跟踪滤波器(Strong Tracking Filter, STF)进行更新,设计滤波增益以抑制噪声对系统状态估计的影响,有效提高了滤波的数值稳定性,减小了状态估计误差。通过仿真分析,比较了扩展卡尔曼滤波器(Extended Kalman Filter, EKF)、无迹卡尔曼滤波器(Unscented Kalman Filter, UKF)、平方根容积卡尔曼滤波器(Square-Root Cubature Kalman Filter, SRCKF)、STFSRCKF的算法性能,实验表明所提算法具有跟踪速度快,精度高等优点。     

含时量子动力学模拟的低存储龙格-库塔方法

A wide range of quantum systems are time-invariant and the corresponding dynamics is dictated by linear differential equations with constant coefficients.Although simple in mathematical concept,the integration of these equations is usually complicated in practice for complex systems,where both the computational time and the memory storage become limiting factors.For this reason,low-storage Runge-Kutta methods become increasingly popular for the time integration.This work suggests a series of s-stage sth-order explicit RungeKutta methods specific for autonomous linear equations,which only requires two times of the memory storage for the state vector.We also introduce a 13-stage eighth-order scheme for autonomous linear equations,which has optimized stability region and is reduced to a fifth-order method for general equations.These methods exhibit significant performance improvements over the previous general-purpose low-stage schemes.As an example,we apply the integrator to simulate the non-Markovian exciton dynamics in a 15-site linear chain consisting of perylene-bisimide derivatives.