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基于灰色系统理论的雷达探测距离预测方法
引用本文:姜昌杰,钱建刚. 基于灰色系统理论的雷达探测距离预测方法[J]. 空军雷达学院学报, 2011, 25(1): 6-8,24. DOI: 10.3969/j.issn.1673-8691.2011.01.002
作者姓名:姜昌杰  钱建刚
作者单位:1. 空军雷达学院研究生管理大队,武汉,430019
2. 空军雷达学院一系,武汉,430019
摘    要:空中目标雷达探测距离的预测是基于检飞数据的雷达网探测能力分析中一个非常关键的环节.对小样本、贫信息的不确定性系统,采用一般预测方法很难满足预测精度的要求,为此使用灰色预测模型中的新陈代谢模型和Verhulst模型进行预测.新陈代谢模型在预测过程中不断剔除已不能反映系统特征的老数据,Verhulst模型则主要对原始数据变化呈S形特点的序列进行预测.最后通过实例对这两种模型进行了检验.检验结果表明:新陈代谢模型预测精度最低达96.14%,Verhulst模型预测精度最低达95.44%.

关 键 词:灰色预测  雷达探测距离  预测方法

Prediction Method of Radar Detection Range Based on Grey System Theory
JIANG Chang-jie,QIAN Jian-gang. Prediction Method of Radar Detection Range Based on Grey System Theory[J]. Journal of Air Force Radar Academy, 2011, 25(1): 6-8,24. DOI: 10.3969/j.issn.1673-8691.2011.01.002
Authors:JIANG Chang-jie  QIAN Jian-gang
Affiliation:JIANG Chang-jie1,QIAN Jian-gang2(1.Department of Graduate Management,AFRA,Wuhan 430019,China,2.No.1 Department,China)
Abstract:Prediction of radar detection range of air target is a key link in analysis of detection capability of radar network based on the flight test data.It is hard to meet the requirements for prediction precision by using a general prediction method for an uncertain system with small sample and lack of data and information.This paper attempts to use the metabolic one of grey prediction models and the Verhulst model for prediction,where the old data that can not reflect the system characteristics is continually r...
Keywords:grey prediction  radar detection range  prediction method  
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