基于事后数据分析的脉冲雷达误差分离方法研究  

Study on the Error Separation Method of Pulse Radar Based on Data Analysis After Measure

作　　者：胡亚男[1] 淳静[1] 

机构地区：[1]中国太原卫星发射中心

出　　处：《装备指挥技术学院学报》2010年第6期97-101,共5页Journal of the Academy of Equipment Command & Technology

摘　　要：提出了基于事后数据分析的脉冲雷达误差分离方法。根据误差修正模型，研究各误差成分的影响关系，建立初始回归分析模型；通过模型辨识对初始模型进行假设性检验，确定最优回归分析模型；利用事后冗余测量数据对脉冲雷达系统误差进行回归分析。实验结果表明，这种方法能较好地分离出残留误差成分，为设备查找问题提供充分依据，同时有效地提高了数据处理结果的精度。The error separation method of pulse radar based on data analysis after measure is proposed. First, the influence of different errors is studied based on error correction model. And the initim regression analysis model is founded. Then, the hypothesis testing is carried out for regression analysis model by model identification and the optimal regression analysis model is established. Finally, the pulse radar systematic error is analyzed by regression model with redundant measured data. The experimental result proves that the method can separate residual error well and the bases for finding equipment problems can be provided more sufficiently. At the same time the data processing precision is improved effectively.

关 键 词：事后数据分析 误差分离 模型辨识 误差影响函数 回归分析 

分 类 号：TN713[电子电信—电路与系统] TG83[金属学及工艺—公差测量技术]