基于多普勒信息的炮位侦校雷达外推算法研究

Study on Extrapolation Method Based on Doppler Information of Firefinder Radar

针对一定条件下炮位侦校雷达定位精度偏低、引导射击能力偏弱的问题,考虑到随着新型炮位侦校雷达技术的发展,所测量的多普勒信息已具有较高的精度,提出将多普勒信息应用到观测模型中。结合无迹卡尔曼滤波,并将弹道系数引入状态变量,建立了基于多普勒信息的七维状态向量无迹卡尔曼滤波算法(七态DB-UKF算法)。理论分析与实验表明,该方法有效利用了雷达的多普勒测量信息,能够有效抑制估计误差,提高参数估计精度,进而提高了外推弹丸的落点精度。

In view of the problem of low positioning accuracy and weak guiding ability of firefinder radar under certain conditions,the Doppler information was applied to the observational model considering that the Doppler information has high precision with the development of the firefinder radar technology.Combined with the unscented Kalman filter,the ballistic coefficient was introduced into the state variables,and a seven-dimensional state-vector unscented Kalman filter algorithm(seven-state DB-UKF algorithm)was established based on Doppler information.The theoretical analysis and experiments show that the method can effectively use the Doppler measurement information of radar.The estimation error can be effectively suppressed,and the estimation accuracy of parameters can be improved,thus improving the location accuracy of gun position.