高斯和估计Kalman滤波在多平台空战对抗评估数据预处理中的应用

Pre-processing of Multi-platform Air Combat Rivalry Evaluation Based on Gaussian Sum Estimate Kalman Filter

针对多平台空战对抗评估数据预处理中的过程积累误差问题进行研究。通过构建多平台空战对抗系统,分析不同平台间实时数据交互关系和相应的数据类型,采用最小二乘法和坐标变换实现不同平台间的时空配准,并对多平台空战对抗评估过程进行误差分析,将其状态误差和观测误差表示为高斯和形式,并选用Kalman滤波方法对过程积累误差进行滤波。实例仿真实验结果表明:经过滤波后的估计轨迹与真实轨迹之间的拟合效果较好,进一步完善了原有多平台空战对抗数据预处理过程。

With the widely application of the Multi-platform and Multi-sensor in the Air Combat Rivalry E-valuation,the accomplishment of the better data Pre-processing of Multi-platform Air Combat Rivalry E-valuation will play a vital role in route selection、track fusion、evaluation and prediction of real-time and afterwards air combat training.Through building multi-platform air combat training evaluation system, the measuring data from varied platforms is analyzed.The Least Square method and coordinate transformation are adopted to realize the time and space registration between varied platforms,the process accu-mulated error is analyzed and disposed based on the Gaussian Sum Estimate Kalman Filter algorithm.Sim-ulation analysis is done,the result shows that the matched curve between measurement track and real track is good in fitting result after filter processing,and the purpose of perfecting the Pre-processing of multi-platform air combat rivalry evaluation is achieved.