摘要
快速、精确融合计算弹道结果是试验过程中重要的基础工作之一,针对理论弹道失去参照作用,没有高精度测量设备参与的情况,提出了基于神经网络的快速弹道融合方法;首先,根据测量精度设定融合权值,然后剔除测量数据中异常测量误差并基于小波分析和频带分析分离随机误差,最后利用神经网络快速融合得到精度较高的弹道结果,同时还可以对参与融合测量数据的系统误差进行估计;通过实测数据的计算,验证了本文提出方法的可靠性和精度。
It is the important and basic work to calculate the trajectory result quickly and accurately. In the case of which the theoretical trajectory is invalided, or there is no high precision measurement equip- ment, a fast fusion trajectory calculation method based on the neural network was put forward. Firstly the fusion weight was set according to the measurement precision. Then the exceptional and random errors were eliminated. Finally the high precision trajectory result was computed and the system error of the measure- ment data was estimated. The actual data comDuting Droves the reliability and precision of the method.
出处
《四川兵工学报》
CAS
2015年第7期165-168,共4页
Journal of Sichuan Ordnance
关键词
快速融合
融合权值
异常测量误差
神经网络
fast fusion calculation
fusion weight
exceptional error
neural network