The research of the characteristic of space targets , is an important technique means in control of the space satellites orbits resource , surveillance the motion of non - cooperated targets , forecast the falling satellites and the reentry of other threaten targets 开展空间目标电磁散射特性研究，是掌握空间卫星轨道资源，监视非合作空间目标运行情况，预报陨落卫星及其它有威胁目标的再入等的重要技术手段。
But this kind of entity may insurmountably have some uncertainties when it is expressed abstractly to the spatial object of gis , and these uncertainties are the uncertain factors including error , inaccuracy , illegibility and so on 但是这类实体在抽象描述为gis的空间目标时难以避免地会带有一定程度的不确定性，这种不确定性指的是在进行抽象描述时随之产生的误差、不精确性、模糊性和含混性等不确定性因素。
For the characteristic of spatial target recognition , multi - sensor data fusion is likely to break the choke point of traditional method . this paper studies the methods of multi - sensor data fusion , and applies these methods in recognition of spatial targets 针对空间目标识别问题的特点,多传感器信息融合可望突破传统识别方法的瓶颈,本文即以此为出发点,研究了多传感器信息融合方法及其在空间目标识别中的应用。
3 ) we research the attitude character of the radar target in the midcourse , analyse the rotation of the target in the midcourse on the basis of the attitude dynamics of space target . with the data of the trajectory in the midcourse , we calculate attitude parameter of the ballistic missile 在空间目标姿态动力学的基础上分析中段目标的进动,结合中段轨道数据,给出了中段弹道导弹的姿态参数(目标雷达视线角)的计算结果。
Secondly , analyzes the " impression space " includes two parts - the subject ( human being ) and the object ( space ) . in my paper , it refers to " consumer " and " the interior space of commercial complex " , and those are the foundation of " the object of space " 其次解析了“印象空间”所包含的两极：主体的“人”和客体的“空间” (在本文中，即指“消费者”和“商业综合体内部空间” )的特征，这也成为设立“空间目标”的基础。
Visual simulation is an important part of space simulation , which can present the motion of the space targets and working condition of ground facilities intuitionisticly , and can make it easier for us to find out the problems in the space experimentation and analyze them 航天试验及仿真可视化是航天试验及仿真的一个重要组成部分,能够形象、直观地展现空间目标运动及地面设备工作情况,便于航天试验或仿真时对问题进行定位及分析研究。
Firstly , the visibility on space target observing gps was analyzed . secondly the basic principle and the measurement model of aff were developed . lastly , determination of the relative states of two special formations with aff configure was researched and simulation results are analyzed 首先分析空间目标对gps的可见性问题；其次建立了aff系统的基本测量原理和数学模型；最后针对三星和双星这两种特殊的编队进行了研究，给出了仿真结果。
The purposes of this technical reform are to raise the measurement accuracy of the miss - targets and to improve the system error of the axis , hence increase the space pointing accuracy of satellites . it can offer a measurement means for high accuracy measurement orbit , forecast and method research on the space targets 本项改造提高了脱靶量的测量精度和减小了轴系的系统偏差，从而提高卫星的空间定位精度，为空间目标高精度测轨预报和方法研究提供了测量手段。
The intelligent mine will be the most important weapon system to defend arming helicopter hedgehopping in future war . passive acoustic detection technology is the key technology . with the researching of the national defence pre - researching project which is the research of acoustics compound fuse of anti - helicopter intelligent mine , this paper presents acoustic localization algorithm and discusses the affect of wind to the localization , then a method of how to correct the affect of wind has been studied , upon this a dsp software system has been designed 智能雷弹是防御超低空飞行的武装直升机的重要武器系统，而被动声探测技术是其关键技术，本文结合“九?五”国防预研项目“反直升机智能雷弹声复合引信技术”的研究，对空间目标声定位算法和风对被动声定位的影响及如何对这种影响进行修正进行了深入分析，并在此基础上设计了dsp软件系统。
The nonlinear problem is inevitable in bearing - only target tracking problem . here the monte carlo based nonlinear filters are compared with the classical extended kalman filter ( ekf ) in this field : the unscented kalman filter ( ukf ) , the particle filter ( pf ) and the unscented particle filter ( upf ) . furthermore , a multi - sensor passive tracking algorithm , through combining the ukf and probability data association ( pda ) , is provided for bearing - only target tracking in dense clutters 本文将典型的montecarlo非线性滤波器? unscentedkalmanfilter ( ukf ) 、 particlefilter ( pf )和unscentedparticlefilter ( upf )应用于被动定位跟踪，并在二维空间目标跟踪仿真中与经典的扩展卡尔曼滤波算法( ekf )进行了对比；本文将ukf算法与概率数据关联算法( pda )相结合，给出了适用于杂波环境下多站被动式跟踪的ukfpda算法。
