基于卡尔曼滤波的弹箭飞行状态估计方法

为了快速、准确地获取弹箭飞行状态参数,讨论了采用不同卡尔曼滤波的弹道估计过程.采用质点弹道模型,考虑了动力平衡角的影响,以随机横风为过程噪声,建立了弹箭飞行状态方程;基于实测的弹箭位置、速度参数,建立了量测方程;分别采用扩展卡尔曼滤波(EKF)和线性化卡尔曼滤波(LKF)对测量数据进行最优估计,提出一个弹道滤波混杂算法.以某低旋尾冀弹为例,在坐标雷达探测体制下进行了仿真计算.结果表明,混杂算法减少了系统的在线计算量,提高了弹箭飞行状态的估计精度.

Estimation Approach of Flight State for Guided Projectiles Based on Kalman Filter

To obtain the flight state parameters of guided projectile rapidly and accurately,the estimation processes of trajectory by using different types of Kalman filters were discussed.Based on the point-mass trajectory model,the system state equation was established considering the influence of yaw of repose,and the stochastic cross-wind was regarded as the process noise.According to the measured position and velocity data,the measurement equation was established.The trajectory parameters were estimated by using...