Cubature Kalman filter with closed-loop covariance feedback control for integrated INS/GNSS navigation

Cubature Kalman Filter (CKF) offers a promising solution to handle the data fusion of integrated nonlinear INS/GNSS (Inertial Navigation System/Global Navigation Satellite System) navigation. However, its accuracy is degraded by inaccurate kinematic noise statistics which originate from disturbances of system dynamics. This paper develops a method of closed-loop feedback covariance control to address the above problem of CKF. In this method, the posterior state and its covariance are fed back to the filtering process to constitute a closed-loop structure for CKF covariance propagation. Subsequently, based on the maximum likelihood principle, a control scheme of the prior state covariance is established by using the feedback state and covariance within an estimation window and further adopting a proportional coefficient to amplify the feedback terms in recent time steps for the full use of new information to reflect actual system characteristics. Since it does not directly use kinematic noise covariance, the proposed method can effectively avoid the adverse impact of inaccurate kinematic noise statistics on filtering solutions. Further, it can also guarantee the prior state covariance to be positive semi-definite without involving extra measures. The efficacy of the proposed method is validated by simulations and experiments for integrated INS/GNSS navigation.     

A practical filter error method for aerodynamic parameter estimation of aircraft in turbulence

It is common for aircraft to encounter atmospheric turbulence in flight tests. Turbulence is usually modeled as stochastic process noise in the flight dynamics equations. In this paper, parameter estimation of nonlinear dynamic system with both process and measurement noise was studied, and a practical filter error method was proposed. The linearized Kalman filter of first-order approximation was used for state estimation, in which the filter gain, along with the system parameters and the initial states, constituted the parameter vector to be estimated. The unknown parameters and measurement noise covariance were estimated alternately by a relaxation iteration method, and the sensitivities of observations to unknown parameters were calculated by finite difference approximation. Some practical aspects of the method application were discussed. The proposed filter error method was validated by the flight simulation data of a research aircraft. Then, the method was applied to the flight tests of a subscale aircraft, and the aerodynamic stability and control derivatives were estimated. All the estimation results were compared with the results of the output error method to demonstrate the effectiveness of the approach. It is shown that the filter error method is superior to the output error method for flight tests in atmospheric turbulence.     

编码扩频通信系统中非相干解调技术研究

为满足当前信息技术高速、安全、可靠通信的要求 ,对基于编码扩频的 DS/FH(直序 /跳频 )混合扩频通信系统中非相干解调技术进行了研究 ,简要分析编码扩频信号的组成 ,重点讨论数据解调时采用的非相干最大相关输出解调方案及其误码特性 ,并与其它通信系统的通信性能进行对比。仿真结果证实方案切实可行     

弹性飞行器的传感器位置设计

为了消除飞行器的气动弹性与控制系统之间的互相影响,必须适当选择传感器的安装位置。用现代控制理论的方法研究了弹性飞行器传感器的平面设置,提出了带常参数的最优过程模型,建立了旨在抑制弹性振动的性能指标。把庞特里亚金极大值原理与样条拟合方法结合起来,得到了用于速率陀螺设置的简单公式。实例分析和计算表明,利用该方法所得的结果比根轧迹方法简单、准确。     

一些评定液体弹道式导弹最大射程的新的统计方法

本文得到了液体弹道式导弹最大射程ｔ的精确解及算法，改进了原有的评定方法，并利用极大似然法及自动法给出了一般模型下的最大射程的评定方法，并给出了计算实例。     

环境温度对导弹精度、最大射程的影响分析与修正

导弹发射时的环境温度会影响固体发动机的推力,推力的变化一方面影响导弹的精度,另一方面影响导弹的最大射程.根据推力与推进剂初温的关系,建立了计算标准弹道关机点参数偏差的数学模型,计算了这种误差通过制导方程高阶项引起的落点误差,并且对最大射程误差也进行了计算,同时,采用修正制导方程系数的方法,对落点误差进行了修正.仿真结果表明,通过本文提供的方法可以修正环境温度造成的落点偏差.     

基于最大值投影的运动点目标检测算法及其性能

针对低信噪比序列图像中微弱点状运动目标检测,提出了一种基于最大值投影构造组合帧图像与帧序号图像的检测算法,给出了算法的计算步骤。用建立的检测率和虚警率的分析模型,讨论了检测率、虚警率、信噪比、构造组合帧的图像帧数间的关系。仿真结果表明,通过合理选择组合帧数,该算法可有效检测出低信噪比条件下图像序列中的运动点目标和交叉运动的多点目标。     

液体发动机分级燃烧循环最高室压通用模块化计算方法

提出了一种新的液体火箭发动机分级燃烧循环最高室压计算方法。该方法按照预定的计算顺序，对发动机系统的各个模块进行叠代计算，采用拟牛顿法求解系统未知量。     

基于因子分析和模糊数学方法的公司内在价值评价的实证研究

本文对公司内在价值作了定义 ,系统分析了影响公司内在价值的因素 ,并建立了评价指标体系 ;设计了两种分别基于因子分析法和模糊数学方法的内在价值综合评价方法 ;最后选择了纺织板块上市公司作实证分析 ,比较了两种方法的优劣     

一种估计飞行器运动特性的实用极大似然法

飞行器运动特性受非线性因素和随机噪声的影响,给气动系数,飞行稳定性与操纵性指标的结构模型辨识带来许多困难。为了解这个问题,首先提出了使用极大似然估计法,以提高辨识效率。接着建立了基于飞行器运动固定型数学模型下的极大似然函数,并给出了一种实用极大似然算法及其实现。