模糊逻辑推理系统的运动目标分类算法  

Moving Target Classification Algorithm Based on Fuzzy Logic Inference System

作　　者：杜磊[1] 郭坤鹏[2] 薛安克[3] 申屠晗[3] 

机构地区：[1]绍兴文理学院元培学院,浙江绍兴312000 [2]南京长江电子信息产业集团有限公司,江苏南京210038 [3]杭州电子科技大学信息与控制研究所,浙江杭州310018

出　　处：《绍兴文理学院学报》2017年第7期40-46,共7页Journal of Shaoxing University

摘　　要：随着战场环境的日益复杂,对战场上的监视目标进行分类工作越来越重要,本文主要研究了窄带雷达目标分类问题,对目标的运动信息进行特征分析,得到其高度信息以及速度信息,利用专家经验建立模糊逻辑推理系统,实时输入得到的目标状态估计,从而得到直升机、民航客机、战斗机三类目标的分类结果,仿真结果表明本文提出的基于模糊逻辑推理系统的运动目标分类算法能够实时地根据目标运动状态对目标正确分类.With the increasingly complex battlefield environment, the work of surveillance target classification in the combat becomes growingly important. The paper mainly studies the narrowband radar target classification, analyzes the motion information of target based on its characteristics to obtain its height and velocity information, and establishes the fuzzy logic inference system through expertise. Estimated from the real-time input of target state, we get three predefined target classification results of the helicopter, civil aircraft and fighter. The simulation results show that the target classification algorithm based on the fuzzy logic inference system in real time can correctly classify the target according to its motion state.

关 键 词：模糊逻辑 雷达目标分类 运动信息 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TN95[自动化与计算机技术—计算机科学与技术]