FrFT-CSWSF:Estimating cross-range velocities of ground moving targets using multistatic synthetic aperture radar

Estimating cross-range velocity is a challenging task for space-borne synthetic aperture radar（SAR）, which is important for ground moving target indication（GMTI）. Because the velocity of a target is very small compared with that of the satellite, it is difficult to correctly estimate it using a conventional monostatic platform algorithm. To overcome this problem, a novel method employing multistatic SAR is presented in this letter. The proposed hybrid method, which is based on an extended space-time model（ESTIM） of the azimuth signal, has two steps： first, a set of finite impulse response（FIR） filter banks based on a fractional Fourier transform（FrFT） is used to separate multiple targets within a range gate; second, a cross-correlation spectrum weighted subspace fitting（CSWSF） algorithm is applied to each of the separated signals in order to estimate their respective parameters. As verified through computer simulation with the constellations of Cartwheel, Pendulum and Helix, this proposed time-frequency-subspace method effectively improves the estimation precision of the cross-range velocities of multiple targets.     

Model-based robust estimation and fault detection for MEMS-INS/GPS integrated navigation systems

In micro-electro-mechanical system based inertial navigation system（MEMS-INS）/global position system（GPS） integrated navigation systems, there exist unknown disturbances and abnormal measurements. In order to obtain high estimation accuracy and enhance detection sensitivity to faults in measurements, this paper deals with the problem of model-based robust estimation（RE） and fault detection（FD）. A filter gain matrix and a post-filter are designed to obtain a RE and FD algorithm with current measurements, which is different from most of the existing priori filters using measurements in one-step delay. With the designed filter gain matrix, the H-infinity norm of the transfer function from noise inputs to estimation error outputs is limited within a certain range; with the designed post-filter, the residual signal is robust to disturbances but sensitive to faults. Therefore, the algorithm can guarantee small estimation errors in the presence of disturbances and have high sensitivity to faults. The proposed method is evaluated in an integrated navigation system, and the simulation results show that it is more effective in position estimation and fault signal detection than priori RE and FD algorithms.     

装备研制费用参数估算方法研究

参数法是进行装备研制费用估算的有效方法之一.介绍了参数费用估算的历史和基本原理,分析了装备研制费用的主要驱动因素,将其作为估算参数,并给出了装备研制费用参数估算的基本流程.最后,基于国际先进的参数估算软件True Planning,对国外新一代直升机进行了参数估算的实例研究,显示了参数估算的有效性.     

基于倒谱的运动模糊图像参数估计方法

通过分析运动模糊图像点扩展函数的倒谱特性,提出了基于倒谱特性的运动模糊参数估计方法。仿真实验结果与理论分析一致,验证了理论分析的正确性。数值实验表明,该方法具有较高的准确性,且具有较强的鲁棒性。     

一种基于DFT的高精度载波频偏估计算法

针对无线数字通信中的载波频率同步问题,提出一种新的载波频偏估计算法。利用离散傅里叶变换（DFT）内插技术,在较大频偏范围内估计出载波频偏,并且在估计精度上相对于DFT法有了很大的提高。这种算法不需要增加DFT数据长度,适合突发通信方式。进行了Monte Carlo仿真实验,仿真结果表明新算法不仅具有宽的估计范围,还具有高的估计精度。     

基于Webservice的个别指导式远程学习软件及知识设计策略

建构个别指导式远程学习软件的系统模型,根据认知心理学领域,知识分为陈述性知识和程序性知识,主要讨论知识库模型中,针对不同的知识选择不同的设计策略,以增加软件的可读性,使学生能进行高效率地学习.     

数传控制装备可靠性预计

分析了某型数传控制装置可靠性模型,采用应力分析法对该装置进行了可靠性预计,根据设备实际状况求得其各主要部件的失效率,评估了产品的可靠性,从数据分析得出了影响可靠性的主要环节,提出了改进措施。通过可靠性试验,对可靠性预计值进行了验证。     

微小型无人机三轴磁强计现场误差校正方法

详细分析微小型无人机导航用三轴磁强计的误差来源,建立三轴磁强计的等效误差模型,提出基于两步估计算法和圆约束非对准误差估计算法的三轴磁强计现场误差校正方法.在充分考虑地磁场偏转和倾斜特性的基础上,提出适合微小型无人机应用的现场数据采样策略,能够在较少的旋转操作下获得较好的采样数据.仿真表明:在所有磁场误差都存在的情况下,...     

Regularized Robust Filter for Spacecraft Attitude Determination

A modified regularized robust filter is proposed for spacecraft attitude determination in the presence of relative misalignment of attitude sensors. The filter is designed to minimize the worst-possible residual norm on condition that there is parametric uncertainty in the measurement model. The weighting matrix of the residual norm is designed to minimize the upper bound of the estimation error variance. The performance of the proposed attitude determination robust filter is illustrated with the use of real test data from a real three-floated gyroscope. Simulation results demonstrate that the attitude estimation accuracy is improved by using the proposed algorithm.     

无人机空中加油过程中基于机器视觉的相对位姿估计(英文)

本文主要研究了在无人机空中自主加油过程中,利用安装在无人机上的摄像机得到的视觉图像确定无人机与加油机之间相对位置关系的算法。本文以经典的OI算法为基础展开研究,文章主要分为三个部分:首先简要介绍了OI算法的基本实现方法,指出了在OI算法中,旋转矩阵R的初值的选择对于位姿估计的精度有一定的影响。其次主要介绍了一种线性算法用于获取R初值的方法,同时针对空中加油过程中无人机与加油机之间的相对姿态角变化较小的特点,提出了可以将旋转矩阵R的初值设为单位矩阵。论文最后在仿真环境下对相关算法展开实验研究,同时研究了在高斯噪声环境下特征点在加油机表面的分布对位姿估计结果的影响,论文得到如下的结论:1、针对空中加油过程中无人机与加油机之间的相对姿态角变化较小的特点,在高斯噪声环境下,以单位矩阵作为旋转矩阵的初值得到的位姿估计的结果好于以线性算法为初值的结果。2、在相同的高斯噪声环境下,特征点之间的距离越大时得到的位姿估计结果的精度越高。3、特征点的数量对相对位姿估计的精度没有明显影响。