防空导弹近炸引信测试数据快速处理方法

A Fast Data Processing Method in Air Defense Missile Proximity Fuse Test

防空导弹近炸引信的特点决定了其测试工作的复杂与困难,这使得对引信测试数据进行分析判读的工作量和难度加大,从而浪费了大量的时间,影响了工作的进度。为了快速对测试数据进行分析处理并得到结论,基于最小二乘法的数学思想利用非线性拟合对测试数据进行拟合,可以得到一个连续函数,从而可以对被测信号全貌进行估计和预测,通过比照该函数曲线与历史经验曲线,可以直观、迅速地判断被测数据是否正常。

Owing to the characteristics of the air defense missile proximity fuse, the test work is complex and difficult, making the analysis of the fuse data different to wasting a lot of time and influences the work schedule. In order to rapidly was analyzed the test data and get concluded, nonlinear curve fitting to fit the test data based on least squares method was used to get a continuous function, so that the whole picture of the signal could be estimated and projected. By contrasting the function curve and the historical experience curve, whether the measured data was normal could be judged intuitively and rapidly