弹丸运动速度的高精度测量是测量弹丸膛内其他运行参数的基础.采用极值法测量弹丸运动速度时,传统的做法是直接对解算出的速度信息进行数据拟合,用拟合结果去描述弹丸速度信息,这样做在一些工程应用中虽然能达到技术指标,但误差还是较大.提出基于扩展卡尔曼滤波的预测算法,对极值法解算出的弹丸速度信息进行最优预测,进一步提高了弹丸速度的测量精度.通过实测信号进行验证分析,弹丸速度的测量值更加逼近理论值,误差更小,方法具有工程应用价值. High-precision measurement of projectile motion velocity is the basis for measuring other operating parameters in the projectile chamber.Using the extreme value method to measure projectile motion velocity, the traditional method is to directly fit the calculated velocity information to data fitting and use the fitting result to describe Projectile speed information, so although in some engineering applications to achieve the technical indicators, but the error is still large.Furthermore, an extended Kalman filter based prediction algorithm is proposed to predict the projectile velocity information calculated by the extremum method and further improve The accuracy of projectile velocity measurement.According to the measured signal verification analysis, projectile velocity measurement value closer to the theoretical value, the error is smaller, the method has engineering application value.