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。     

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。     

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...     

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.     

感受生命的崇高--谈谈《野草》的悲剧精神

鲁迅先生的《野草》是1924年至1926年的心灵咏叹,也是世界散文诗三大里程碑之一,它以其深刻独异的风格享誉世界,又因其含蓄、怪丽令人难以透彻理解。本文试从美学的悲剧美的角度探讨诗集的主要精神及其意义。文章从反抗绝望、孤独的心灵、严格的自我解剖三个方面阐明了鲁迅先生对生命的思考、对历史责任的认识、对人生的反省,从而揭示了《野草》中蕴含的崇高美。     

基于交会雷达测量的相对导航滤波器

以两飞行器自主交会、绕飞与最终逼近为背景 ,研究基于交会雷达的自主相对导航方法。基于间接测量量设计了扩展Kalman滤波器 ,并设计了具有自调整功能的测量误差协方差矩阵R。数学仿真证明了该方法的有效性     

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     

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.     

基于延长序列法的动态测试研究

对具有高阶传递函数的某控制系统仪器 ,采用延长序列的傅立叶变换方法 ,准确、快速地得到了其动态频率特性 ,并用改进的Levy方法准确辨识出了系统模型。     

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.