Quadratic extended Kalman filter approach for GPS/INS integration

GPS/INS integration system has been widely applied for navigation due to their complementary characteristics. And the tightly coupled integration approach has the advantage over the loosely coupled approach by using the raw GPS measurements, but hence introduces the nonlinearity into the measurement equation of the Kalman filter. So the typical method for navigation using measurements of range or pseudorange is by linearizing the measurements in an extended Kalman filter (EKF). However, the modeling errors of the EKF will cause the bias and divergence problems especially under the situation that the low quality inertial devices are included. To solve this problem, a quadratic EKF approach by adding the second-order derivative information to retain some nonlinearities is proposed in this paper. Simulation results indicate that the nonlinear terms included in the filtering process have the great influence on the performance of integration, especially in the case that the low quality INS is used in the integrated system. Furthermore, a two-stage cascaded estimation method is used, which circumvents the difficulty of solving nonlinear equations and greatly decreases the computational complexity of the proposed approach, so the quadratic EKF approach proposed in this paper is of great value in practice.     

大庆RP-3航空煤油热物性分析

1引言在超燃冲压发动机的实际运行过程中,吸热碳氢燃料通常被当作冷却剂去吸收气动加热和燃烧施于机体的热量,其温度和状态随着飞行马赫数的不同而发生变化。与液态燃料相比,在加热条件下,燃料的热物理特性及其喷注、混合和燃烧等过程有很大的不同,例如,临界点附近燃料的热力学     

包含乘性噪声自适应修正的非合作目标相对导航算法

无人机（UAV）态势感知的任务是利用机载传感器对未知环境进行目标识别和引导,针对无人机与非合作目标间中远距离的相对导航问题,提出了一种基于角度和距离量测的相对状态估计算法。在现有滤波算法的基础上,为了提高精度和稳定性,本文利用了列文伯格-马夸尔特（LM）优化的思想对迭代卡尔曼滤波（IEKF）算法进行改进,提出了一种LM-IEKF算法,并推导该算法在迭代过程中的状态更新方程及协方差阵的递推公式。在此基础上,考虑到距离传感器由于信号相关特性而引入的乘性噪声,现有的加性噪声模型难以适应,因此,进一步提出了基于量测噪声自适应修正的Modified LM-IEKF方法,通过在线实时更新噪声阵提高滤波的精度,并设置渐消记忆指数平滑估计结果。算法验证结果表明,与现有的EKF、IEKF算法相比,在仅含加性噪声的情况下,LM-IEKF算法具有更好的性能;在包含乘性噪声的情况下,Modified LM-IEKF可以有效地估计量测噪声,与目前广泛使用的EKF算法相比,在综合相对位置和相对速度精度上分别提高了10%和23%。     

Autonomous navigation to quasi-periodic orbits near translunar Ubration points

Libration-point missions have been very useful and successful. Due to the unstable natures of most of these orbits, the long-time stationkeeping demands frequent maneuvers and precise orbit determinations. Earth-based tracking will have to undertake much more responsibilities with the increasing number of libration missions. An autonomous navigation system could offer a better way to decrease the need for Earth-based tracking. Nevertheless, when an autonomous navigation system is applied, there are three important factors affecting autonomous navigation accuracy, i.e., the accuracy of initial conditions, the accuracy of measurements, and the accuracy of onboard dynamics for propagation. This paper focuses on analyzing the influence from the third factor and finding an appropriate navigation dynamics, which can satisfy the requirement of estimation accuracy but not cause too much burden for onboard computation. When considering the restricted three-body model and the bicircular restricted four-body model as navigation dynamics, the astrin- gency is not shown during the simulations. Meanwhile, when considering the influences of the Sun＇s direct and indirect perturbations and the eccentricity of the Moon＇s orbit, a new navigation dynamic model with the standard ephemerides is proposed. The simulation shows the feasibility of the proposed model.     

民用航空发动机ETOPS型号设计和符合性验证方法研究

航空发动机延程运行（ETOPS）资格是飞机延程运行的基础,为了给国内航空发动机ETOPS 型号设计及适航符合性验证提供指导,研究ETOPS 适航规章形成的历程及航空发动机早期ETOPS 资格的设计和试验要求。分析发动机ETOPS 适航条款与飞机ETOPS 适航条款的关系,提出一种民用航空发动机ETOPS 型号的设计及符...     

一种卫星天文自主定轨定姿方法研究

利用安装在卫星上的太阳敏感器和紫外敏感器测量出的卫星—太阳、卫星—地球和卫星一月球方向矢量，并利用雷达测高仪测出的地心距作为观测量，提出采用广义卡尔曼滤波方法实时地确定卫星绕地球飞行的轨道，同时确定出卫星的对地姿态．对自主定轨进行了数学仿真，分析比较了采样周期、轨道倾角、轨道偏心率和轨道高度等因素对定轨精度的影响．总结了其变化规律，该方法可用于提高卫星自主定轨精度．     

大压力高精度谐振筒传感器设计

介绍用于测量高低温环境下高压气体绝对压力的传感器的设计,传感器采用谐振筒式敏感元件和数字量输出方式.量程满足0.02～4.0MPa,精度优于±0.05%FS,可在-55～150℃的较宽温度范围内可靠工作.该传感器可用于飞机发动机的电调系统,测量发动机不同位置的压力.文中主要论述了谐振筒的设计方法,确定了宽温大压力高精度...     

基于FPGA的IP over CCSDS设计与实现

首先介绍了TCP/IP(传输控制协议/网际协议)技术和CCSDS(空间数据系统咨询委员会)建议的应用背景,从天地网络一体化和未来空间站与地面交互式通信系统需求的角度出发,提出了一种基于FPGA(现场可编程门阵列)的IP over CCSDS处理方法。详细描述了IP over CCSDS软件的实现方案和技术特点,并对其进行了测试和结果分析。     

基于多敏感器的卫星姿态确定算法

针对多敏感器组成的卫星姿态确定系统,采用四元数方法建立卫星姿态估计器模型,应用扩展卡尔曼滤波EKF算法进行信息融合,通过仿真算例验证此算法具有较高的精度。与此同时,在EKF算法基础上提出一种定常增益的卡尔曼滤波CGKF算法。通过数学仿真对EKF算法和CGKF算法进行比较分析,证明在一定条件下CGKF算法具有与EKF算法相当的滤波精度,并且简化后的CGKF算法在获得与EKF算法相近滤波效果的同时,还能够节约星上资源,减少计算量。     

运动阵列非重叠孔径扩展算法

现有线阵列被动合成阵列算法无法满足非连续信号和非均匀线阵列的处理需要,难以被直接用来提高运动线阵列对时域重叠脉冲信号的空间分辨能力.针对这一问题,本文提出一种能够同时满足对非连续信号和非均匀线阵列处理需求的运动阵列非重叠孔径扩展算法.该算法首先通过二维MUSIC算法估计运动阵列的“相位校正因子”,进而完成阵列孔径扩展实现对多个时域重叠信号的高分辨方向估计.通过仿真研究可知:小孔径运动阵列利用本算法在不牺牲方向估计精度的条件下,可以有效提高对多信号的分辨能力,且具有较好的低信噪比适应能力.