某型弹载雷达测角系统误差模型辨识方法

为了提炼和辨识弹载雷达测角误差系统模型，从物理机理和数据特征两个方面入手，提炼自变量并设计基函数，提出了基于能量的自变量剔除算法。以某型寻的弹载雷达测角误差数据为例，分析了与平台、目标状态相关因素对雷达测角的影响，利用文中提出的辨识方法得到测角误差系统模型。计算结果表明，该方法能够对弹载雷达测角的系统误差进行准确建模，且模型较好地吻合了实测数据。

Identification Method of Systematic Errors Model of a Missile-borne Radar

For the extraction and identification of systematic errors model of missile-borne radar, the independent variables are extracted for constructing a basis function, and an energy-based removing method is proposed by considering the physical mechanism and data characteristics. The effects of related factors, such as platform status and target status, on the error measurement are discussed by taking the angle-measurement errors of a missile-borne radar for example, and then a model of angle-measurement errors is build using the proposed methods, which can fit the measured data well. The result shows that the methods can be used to accurately model the systematic angle measurement error of missile-borne radar.