【作者】 罗德林；

【导师】 沈春林；

【作者基本信息】 南京航空航天大学 ， 导航、制导与控制， 2002， 硕士

【摘要】 目标状态估计器是综合飞行/火力控制系统中的一个重要组成环节，本文以地面机动目标为模型，从提高目标估计精度、简化计算以及便于工程实现为出发点，建立目标的状态方程及观测方程，并对其进行线性化，利用自适应卡尔曼滤波算法构造目标状态估计器。再利用Monte Carlo仿真方法对目标状态估计器进行滤波性能评估，即在目标运动真实值的基础上加上随机噪声来模拟产生测量值，通过滤波算法计算系统的状态滤波和一步预测值以评价系统的性能。仿真结果表明目标状态估计器的设计满足性能指标的要求。最后，将目标状态估计器加入到综合飞行/火力控制系统中进行闭环数字仿真以验证目标状态估计器设计的性能，仿真结果说明其性能是符合要求的。更多还原

【Abstract】 Target State Estimater(TSE) is an important and indispensable part of Integrated Flight and Fire Control System (IFFCS) . This article takes the ground mobile object as the study model. It established the system state equation and observation equation from the perspective of promoting system accuracy, simplifying the calculation and facilitating the engineering realization, the TSE was set up by using the Kalman filtering calculation method in the wake of linearizing the observation equation to make it adapt the precondition. After that Monte Carlo simulation method was used to evaluate performance of the TSE. It means the system state filtering and one step predicting values are available through using filtering calculation to process the analog measure values produced by adding the white noise upon the real values of the mobile object to evaluate the TSE performance. The results illustrate the designed TSE meets the specification requirements. Finally put the TSE into the IFFCS and used Matlab5.3 to conduct a digital simulation on the whole closed-loop for the purpose of testing the TSE’ performance in and influences on the IFFCS, the output curves show the TSE also works pretty well and cuts the mustard.更多还原