In data processing of the exterior ballistic measurement, it is difficult for the common computer to implement the data operation with input sampling rate of 80 Hz/s due to the limits of its operation capability and internal storage. It can only extract 10 Hz/s or 20 Hz/s data to calculate, and can not provide the ballistic data of 50Hz/s. However, when the data extraction is sparse, some feature points, dynamic characteristics and details will not be demonstrated, while the high sampling rate of 80 Hz/s data can obtain the motion characteristics of the aircraft. By means of spline node optimization, algorithm improvement and unequal-distance B-spline node, and by taking full advantage of high-frequency-frame speed measurement data, the cluster system based computing system can obtain the ballistic parameters with high precision, which can meet the requirements of high-frequency-frame rate trajectory.