摘要
以无人机(UAV)集群为研究对象,针对空天红外探测系统对UAV集群的探测能力进行分析。将UAV集群飞行过程划分为三个阶段并对其红外辐射特性和成像特性进行建模分析;对于探测距离模型建模过程中对目标成像的弥散特性考虑较少的情况,建立了基于弥散系数的噪声等效通量密度(NEFD)点目标探测距离模型。为验证所提出的探测距离模型的有效性,采用不同建模方法、不同弥散系数对比的方法分析探测距离随目标的信噪比(SNR)和速度的变化情况。仿真结果表明所提模型的探测距离优于其他建模方法,探测距离随着目标飞行速度的增加而增大,随着信噪比的增加而增大,同时弥散系数随着探测距离的变化而变化,所建立的弥散系数求解方法得到的探测距离优于其他方法。
Taking unmanned aerial vehicle(UAV)swarm as an example,this paper analyzes the detectability of an airspace infrared detection system for the UAV swarm.Firstly,the UAV swarm flight process is divided into three phases,and its infrared radiation characteristics and imaging characteristics are modeled and analyzed in detail.Secondly,as dispersion characteristics of target imaging in the detection range modeling are considered inadequately,a noise equivalent flux density(NEFD)point target detection range model based on dispersion coefficient is established.In the meantime,in order to verify the effectiveness of the proposed model,different modeling methods and dispersion coefficient comparison methods are used to analyze the change of detection range with signal noise ratio(SNR)and the swarm speed.Simulation results show that the detection range of the proposed model is better than that of other models,and the detection range increases as the swarm flight speed and SNR increase.Furthermore,the dispersion coefficient varies with the detection range.The detection range obtained by the dispersion coefficient solution is superior to that obtained by other methods.
作者
谢家豪
黄树彩
韦道知
张曌宇
Xie Jiahao;Huang Shucai;Wei Daozhi;Zhang Zhaoyu(Air Defense and Antimissile School,Air Force Engineering University,Xi′an 710051,Shaanxi,China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2022年第18期77-86,共10页
Acta Optica Sinica
基金
国家自然科学基金(61703424)。
关键词
测量
无人机集群
探测能力
红外探测系统
探测距离
弥散现象
噪声等效通量密度
measurement
unmanned aerial vehicle swarm
detectability
infrared detection system
detection range
dispersion phenomenon
noise equivalent flux density