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兵工学报 ›› 2014, Vol. 35 ›› Issue (2): 273-279.doi: 10.3969/j.issn.1000-1093.2014.02.021

• 研究简报 • 上一篇    下一篇

某型弹载雷达测角系统误差模型辨识方法

王文君1, 段晓君1, 朱炬波1, 张强2   

  1. (1.国防科学技术大学 理学院,湖南 长沙 410073;2.第二炮兵装备研究院 第三研究所, 北京 100085)
  • 收稿日期:2012-09-04 修回日期:2012-09-04 上线日期:2014-03-25
  • 作者简介:王文君(1981—),男,博士研究生
  • 基金资助:
    教育部新世纪优秀人才支持计划项目(2010年);航天飞行动力学技术重点实验室开放基金项目(SFDLXZ-2010-004)

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

WANG Wen-jun1, DUAN Xiao-jun1, ZHU Ju-bo1, ZHANG Qiang2   

  1. (1.College of Science, National University of Defense Technology, Changsha 410073, Hunan, China;2. The Third Research Institute, The Second Artillery Equipment Research Institute, Beijing 100085, China)
  • Received:2012-09-04 Revised:2012-09-04 Online:2014-03-25

摘要: 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。

关键词: 信息处理技术, 系统误差模型辨识, 自变量矩阵, Cp准则, 基于能量的剔除算法,  χ2拟合检验

Abstract: 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.

Key words: information processing, systematic errors model identification, independent variable matrix, Cp principle, culling algorithm based on energy, χ2 hypothesis test model

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