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作 者:陈芷滢 王军[1] CHEN Zhi-ying;WANG Jun(School of Automation,Nanjing University of Science and Technology,Nanjing 210094,China)
机构地区:[1]南京理工大学自动化学院,江苏南京219400
出 处:《指挥控制与仿真》2022年第6期90-95,共6页Command Control & Simulation
基 金:国家自然科学基金项目(61104197)。
摘 要:为解决空中机动目标识别方法复杂且识别率不高的问题,提出了一种基于运动信息的空中目标模糊识别方法。选取了机动性较小的无控类弹以及机动性较大的制导炸弹等作为研究对象。首先,对无控类弹(榴弹、火箭弹、迫击炮弹)、制导炸弹、巡航导弹及无人机的运动特征进行分析,仿真得出目标的运动轨迹。然后,提取目标的速度、高度、加速度、俯仰角及其变化率等特征,建立基于模糊集合的目标识别算法,根据择近原则进行判定,最后,得到仿真结果。实验结果表明,所提方法应对不同目标识别效果较好,且响应速度较快,为今后作战指挥及理论研究提供支持。In order to solve the problem that the recognition method of air maneuvering target is complex and the recognition rate is not high,a fuzzy recognition method of air target based on motion information is proposed in this paper.Firstly,this paper analyzes the movement characteristics of larger guided bombs,UAV guided missiles and grenades.Then,the characteristics of the target such as speed,height,acceleration,pitch angle and its change rate are extracted,and the target recognition algorithm based on fuzzy set is established.It is determined according to the proximity principle,and finally the simulation results are obtained.The experimental results show that the proposed method has good effect on different target recognition and fast response speed,which provides support for combat command and theoretical research in the future.
分 类 号:E911[军事] TP202.4[自动化与计算机技术—检测技术与自动化装置]
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