大地测量误差对导弹精度的影响分析与修正

本文把发射点的所有测量误差统一为标准发射坐标系与惯性坐标系之间的平移和旋转，建立了这两种坐标系之间的变换关系，然后，通过各坐祭系内的制导方程，用小偏差法求落点偏差与发射点的坐标偏差，高程偏差，方位角偏差以及垂线偏并之间的解析关系式，该式仅依赖于标准弹道，特别适合射前快速修正，最后，根据计算结果对落点的变化规律进行了分析，并得出了几个重要结论。     

回顾对地地固体战术导弹认识的三次大的飞跃

通过对地地固体战术导弹研制过程中头体分离，精度及固体发动机关键技术认识的三次大的飞跃，从认识论高度揭示了新一代地地固体战术导弹研制的一般规律。     

垂线偏差对导弹命中精度影响研究

在目前垂线偏差研究的基础上，求出了法线坐标与垂线坐标系之间的转换关系，而且通过重力分析、空气动力分析和控制基准分析，认为两会标系内导弹受力不同，运动参数也不相等，不仅如此，垂线偏差还从几何和动力学两方面影响瞄准方位角。最后通过计算给出垂线偏差的影响量级工得出了几个结论。     

角速度波动检测技术研究

标准转台等旋转体在转动时产生的角速度波动对被标定设备的数据可信度有很大影响。本文主要论述了角速度波动检测的重要性和可能性，并对检测的方法进行了介绍，用时域等信号处理方法对角速度波动数据进行了分析。     

估算转弯加速度的卡尔曼滤波器

近年来由于计算机的飞速发展，计算速度越来越快，所以用相控阵天线跟踪目标时采用卡尔曼滤波器已成为现实。对直线飞行的目标，卡尔曼滤波器能得到良好的跟踪精度，但若目标的加速度为高斯噪声，目标转弯时跟踪精度会降低。对处理转弯目标的跟踪精度曾提出两种方案，即估算输入的卡尔曼滤波器和二级卡尔曼滤波器。这些卡尔曼滤波器是在目标的运动模型上使位置和速度矢量与加速度矢量分离，利用预测误差估算加速度的。但由于对预测增减较大的目标的急转弯与目标运动模型不匹配，所以得不到良好的跟踪精度。为此提出了为处理目标的急转弯，不用预测误差而是通过卡尔曼滤波器估算的位置计算出形成飞行轨迹的转弯半径和角速度。还通过计算机仿真与原来的中方式进行比较，证明了其有效性。     

FD-09风洞单点腹支撑系统研制

为了在风洞中发展新型的腹支撑方式,基于FD-09风洞现有的下大迎角机构,设计研制了一套新型的单点腹支撑系统。单点腹支撑系统具有系统简便实用、模型设计简单、支撑干扰相对稳定等特点。在地面效应试验中使用布置光栅尺位移传感器的新方法取代了传统的测量方法,大大提高了控制精度和试验效率。风洞试验表明：单点腹支撑系统的试验重复性精度较高,部分指标已经接近国军标的先进指标;单点腹支撑系统的支杆干扰量是稳定的,并且对大部分气动分量的干扰量是小量;与双点腹支撑系统比较而言,单点腹支撑系统具有支杆干扰较小的优势。     

Accurate single-observer passive coherent location estimation based on TDOA and DOA

This paper investigates the problem of target position estimation with a single-observer passive coherent location(PCL) system. An approach that combines angle with time difference of arrival(ATDOA) is used to estimate the location of a target. Compared with the TDOA-only method which needs two steps, the proposed method estimates the target position more directly. The constrained total least squares(CTLS) technique is applied in this approach. It achieves the Cramer–Rao lower bound(CRLB) when the parameter measurements are subject to small Gaussian-distributed errors. Performance analysis and the CRLB of this approach are also studied. Theory verifies that the ATDOA method gets a lower CRLB than the TDOA-only method with the same TDOA measuring error. It can also be seen that the position of the target affects estimating precision.At the same time, the locations of transmitters affect the precision and its gradient direction.Compared with the TDOA, the ATDOA method can obtain more precise target position estimation.Furthermore, the proposed method accomplishes target position estimation with a single transmitter,while the TDOA-only method needs at least four transmitters to get the target position. Furthermore,the transmitters' position errors also affect precision of estimation regularly.     

A novel method for importance measure analysis in the presence of epistemic and aleatory uncertainties

For structural systems with both epistemic and aleatory uncertainties, research on quantifying the contribution of the epistemic and aleatory uncertainties to the failure probability of the systems is conducted. Based on the method of separating epistemic and aleatory uncertainties in a variable, the core idea of the research is firstly to establish a novel deterministic transition model for auxiliary variables, distribution parameters, random variables, failure probability, then to propose the improved importance sampling(IS) to solve the transition model. Furthermore,the distribution parameters and auxiliary variables are sampled simultaneously and independently;therefore, the inefficient sampling procedure with an ‘‘inner-loop' for epistemic uncertainty and an‘‘outer-loop' for aleatory uncertainty in traditional methods is avoided. Since the proposed method combines the fast convergence of the proper estimates and searches failure samples in the interesting regions with high efficiency, the proposed method is more efficient than traditional methods for the variance-based failure probability sensitivity measures in the presence of epistemic and aleatory uncertainties. Two numerical examples and one engineering example are introduced for demonstrating the efficiency and precision of the proposed method for structural systems with both epistemic and aleatory uncertainties.