Estimation method of target motion parameter for mine platform

The invention provides an estimation method of target motion parameters for a mine platform. A pseudo linear least square estimation method and the Kalman filtering algorithm are combined. The targetmotion parameters are initialized by adopting the pseudo linear least square estimation method to adaptively update target initial motion parameters. An optimal initial motion parameter is obtained asan iteration initial value of the Kalman filtering to solve the motion parameters of the target. The target motion parameter estimation method for the radar platform can increase the convergence speed and improve the estimation accuracy. 本发明提供种用于水雷平台的目标运动参数估计方法，对伪线性最小二乘估计法和卡尔曼滤波算法进行了联合，采用伪线性最小二乘估计法对目标运动参数进行初始化，自适应更新目标初始的运动参数，最终得到最优初始运动参数作为卡尔曼滤波的迭代初值，求解目标的运动参数，加快收敛速度，提高估计精度。