支持向量机在导弹命中精度研究中的应用

陀螺漂移是影响弹道导弹命中精度的主要因素。对于陀螺漂移预测,提出并研究了最小二乘支持向量回归估计算法,将遗忘因子加入到最小二乘支持向量回归估计算法中,采用小波基核函数,对陀螺漂移预测进行研究,提高了模型的自适应性和预测精度。将陀螺漂移预测数据,加入到导弹的飞行仿真模型中,得到其命中精度,由导弹的命中精度,又可以判定陀螺的性能。这对于研究导弹的命中精度及判定陀螺的性能具有重要的理论和工程价值。

Application of support vector machine on the Accuracy Study of the Missile Hits

The gyro drift is a major factor that impact the accuracy of the ballistic missile hits. The gyro drift prediction model was established by the least squares support vector machine algorithm.Adding the forgotten factors to the algorithm and adapt wavelet kernels function, the adjustability and predicted precision of the model is improved. Adding the predicted result of gyro drift to the missile flight simulation model, the accuracy of the missile hits is gained by the Monte-Carlo simulation. Meanwhile, the ...