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测量误差随其表现形式和性质的不同,分为系统误差和随机误差两类。系统误差是确定性的,可用一个数学模型解析地表示出来,或选用适当的比较标准进行校准。而随机误差则是非确定性的,只能用某种概率模型来表示。本文用时间序列分析的方法来识别某雷达随机误差的模型,并检验其合理性。一、误差模型的识别误差模型识别建立在平稳随机序列相关分析的基
Measurement error with its manifestations and nature of different, divided into two types of systematic errors and random errors. The systematic error is deterministic and can be expressed analytically using a mathematical model or calibrated using the appropriate comparison criteria. The random error is non-deterministic, and can only be expressed by a certain probability model. In this paper, a time series analysis method to identify a radar random error model and test its rationality. First, the error model identification Error model identification based on stationary random sequence correlation analysis of the base