运载火箭飞行测量数据奇异点检测和降噪处理的小波方法

Research on Processing Method of Singularity Detection and Noise Elimination Based on Wavelet Transform for Data Measured in Launch Vehicle Aviation

以提高火箭飞行测量数据处理精度为主要目的,结合弹道处理的实际,将小波理论运用于火箭弹道测量数据的分析。首先,在对信号奇异性、小波方法检测信号奇异点原理探讨的基础上,通过对火箭飞行外弹道测量数据奇异性的分析,确定了用于火箭飞行数据奇异点检测的小波函数的选取原则,提出了对跟踪测量数据奇异性点准确定位和分析其奇异性类型的方法;其次,为提高处理火箭飞行弹道的光滑度,深入探讨了弹道测量数据的小波消噪方法,结合雷达跟踪测量数据的实际分析和处理情况,就数据是否处于火箭在级间分离段提出了不同的处理方法。该算法原理简捷,计算复杂度较低,易实现。最后,通过对某试测的两个测量站雷达弹道测量数据的分析处理,论证了上述方法的正确性,取得了明显的效果。

The paper presents to enhance the accuracy of rocket aviation tracking data processing in launching site by applying the Wavelet transform to processing of rocket launching trajectory data measured based on the real launching experiment. Firstly, setting the principle of selecting the wavelet function in detecting rocket aviation signal singularity, put forward the methods of real time confirmation of the singularity and the exact position of measured data as well as analyzing the singularity types. Secondly, explored the Wavelet noise elimination method of trajectory-measured data to improve the smoothness of rocket aviation trajectory and put up a new simplification algorithm of noise elimination for if the data in rocket stage separating sect based on the practice of trajectory processing. Finally, with the goal of correct orientation of tracking data singularity and analysis of singularity types achieved, the analysis of a real case of processing of radar trajectory measured data in the mission proved the correctness and the effectiveness of above method.