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导弹编队自主导航方法研究
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摘要
为了提高单个导弹的作战能力,发挥不同型号导弹的威力,导弹协同作战成为了未来作战的必然趋势。本文基于此背景,研究了导弹编队过程中的自主导航方法和固定目标的定位方法。主要内容包括:
     1.本文将捷联惯导作为跟随弹的主导航系统,针对巡航导弹飞行弹道特点,将导航方程建立在发射地心坐标系下,使得导航方程简单,描述导弹弹道更简单。
     2.针对领航弹-攻击弹这一作战模式,提出了一种导航方案,即在平飞段,利用领航弹的高精度导航信息来提高队形中其它成员导航信息,领航弹将自己的状态发给跟随弹,各跟随弹通过测量自己与领航弹之间的相对信息,来提高自身的导航精度。该方法通信简单,实现起来比较容易。
     3.对捷联惯导的误差和观测设备的误差进行了建模和分析,针对捷联惯导的缺点,研究了惯导和多普勒雷达组合的组合导航系统,并分别对捷联惯导和组合导航进行了仿真。
     4.对固定目标的定位进行了研究,研究了扩展卡尔曼滤波(EKF)和递推最小二乘(RSL)两种无源定位方法,并对这两种方法进行了对比分析。
In order to improve the single missile’s combat ability and enhance the operation effectiveness of different missile weapon systems ,missile cooperation will be the inexorable trend. Base on this background, this dissertation study the autonomous navigation technology during the missile formation and the method of locating the fixed target.
     First of all,INS is still the standard configuration,so we still use SINS as the main navigation system.According to the trajectory of the aerodynamic missile,we establish the navigation equation in the launch coordinate which is fixed to earth, which means the navigation equation will be very simple and the missile’s trajectory can be easily described.
     Furthermore ,due to the leader-follower formation, a missile-to-missle tracking method is presented in the cruise section,which employes the leader’s high precision navigation information to improve the followers’navigation results in the formation. The leader broadcasts its navigation state to the follower and the follower measure the relative state about the leader, then use the Kalman filter to improve the follower’s navigation results. This way are very easy to realized.
     What’s more ,we model and analyse the error of the strapdown inertial navigation and the measuring device, for the defect of the strapdown inertial navigation, we studied a integrated navigation method which consists of the Doppler radar and Inertial navigation , and simulate the two methods respectively.
     Last ,but not least ,we use Extended Kalman Filtering (EKF) and Recursive least square (RSL) two ways to locate the fixed target respectively, and analysed the results between the two methods.
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