摘要
为在航空反潜作战中更加快速精确地测量目标运动要素,对目标定位算法进行改进,并提出基于卡尔曼滤波的目标运动分析方法。根据主动定向声纳浮标"距离和方位联合测量"的特点,给出一种更为直接的加权均值定位算法和定位误差计算方法。并在此基础上,提出了采用卡尔曼滤波器估计目标位置、航速、航向等运动参数的方法。最后采用蒙特卡罗仿真方法,统计分析了系统的误差性能。仿真结果表明,该方法具有较高的目标运动参数估计精度。
In order to achieve undersea target movement elements rapidly and precisely for active directional sonobuoy,the location arithmetic was improved and a method of target motion analysis based on Kalman filter was given.According to the characteristic of range-bearing location,the weighted average location arithmetic and its location error were given.The computation complexity of online least squares iteration was efficaciously decreased by this arithmetic.Then,a target motion analysis method based on Kalman filter was given.The target position,velocity and course were estimated by this filter.Finally,the considerable precision was confirmed by the results of Monte Carlo simulation.
出处
《兵工自动化》
2011年第10期34-38,共5页
Ordnance Industry Automation
